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<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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9: Statements on Statements 
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In episode 9 of season 4 we talk about the Statement on Nature Machine Intelligence. We reached out to Nature for a statement on the statement and received the following:“At Springer Nature we are very clear in our mission to advance discovery and help researchers share their work. Having an extensive, and growing, open access portfolio is one important way we do this but it is important to rem...
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27m
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<span><span class="js-time" data-epochtime="1527802373" data-format="short_date">May 31, 2018</span></span>
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<a class="text-decoration-none" href="/posts/6860749-the-futility-of-artificial-carpenters-and-further-reading"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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S4 Ep8: The Futility of Artificial Carpenters and Further Reading
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In episode eight of season four we review some recently published articles by Michael Jordan and Rodney Brooks (for more reading along these lines, Tom Dettriech is a great person to follow), we recommend some further reading, and talk with Arthur Gretton who was part of the team behind one of the Best Papers at NIPS 2017For more reading we recommend Machine Learning Yearning, Talking Nets, The...
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37m
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<span><span class="js-time" data-epochtime="1526587622" data-format="short_date">May 17, 2018</span></span>
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<a class="text-decoration-none" href="/posts/6840520-economies-work-and-ai"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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7: Economies, Work and AI 
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In episode seven of season four we chat about Ellis and the UK AI Sector Deal , we take a listener question about the next AI winter and if/when it is coming, plus we hear from Christina Colclough Director of Platform and Agency Workers, Digitalization and Trade UNI Global Union.
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43m
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<span><span class="js-time" data-epochtime="1525376130" data-format="short_date">May 03, 2018</span></span>
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43m
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<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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Explainability and the Inexplicable 
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In episode six of season four we chat about AI and religion, we take a listener question about personal bias checking and we hear from Been Kim of Google Brain.
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46m
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<span><span class="js-time" data-epochtime="1524167398" data-format="short_date">Apr 19, 2018</span></span>
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<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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Good Data Practice Rules
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In episode five of season four we talk about the GDPR or as we like to think of it Good Data Practice Rules. (If you actually read it, you move to expert level!) We take a listener question about the power of approximate inference, and we hear from our guest Andrew Blake of The Alan Turing Institute.
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53m
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<span><span class="js-time" data-epochtime="1522958400" data-format="short_date">Apr 05, 2018</span></span>
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53m
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<a class="text-decoration-none" href="/posts/6741985-can-an-ai-practitioner-fix-an-evolved-system"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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Can an AI Practitioner Fix an Evolved System?
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In episode four of season five we talk more about natural an artificial intelligences and thinking about diversity in systems. Reading Can a Biologist fix a Radio is a great paper around these ideas. We take a listener question about moving into machine learning after having advanced training in a different program. Our guest on this episode is our second second time guest Peter Donnelly, Profe...
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44m
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<span><span class="js-time" data-epochtime="1521741399" data-format="short_date">Mar 22, 2018</span></span>
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44m
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<a class="text-decoration-none" href="/posts/6714075-natural-vs-artificial-intelligence-and-doing-unexpected-work"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Natural vs Artificial Intelligence and Doing Unexpected Work
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In season four episode three of Talking Machines we chat about Neil’s recent thinking (definitely not work) on the core differences between natural intelligence and machine intelligence, he recently wrote blog post on the subject and in the fall of 2017 he gave a TedX talk about the topic. We also take a listener question about what maths you should take to get into building ML tools. Our guest...
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59m
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<span><span class="js-time" data-epochtime="1520546826" data-format="short_date">Mar 08, 2018</span></span>
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59m
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<a class="text-decoration-none" href="/posts/6688757-scientific-rigor-and-turning-information-into-action"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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Scientific Rigor and Turning Information into Action
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In episode two of season four we&#39;re proud to bring you the second annual &quot;Hosts of Talking Machine&#39;s Episode&quot;! Ryan and Neil chat about Ali Rahimi&#39;s speech at NIPS-17, Kate Crawford&#39;s talk The Trouble with Bias, and much more.We also get to hear a conversation with Ciira wa Maina, lecturer in the Department of Electrical and Electronic Engineering Dedan Kimathi University of Technology in Nyeri...
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39m
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<span><span class="js-time" data-epochtime="1519335884" data-format="short_date">Feb 22, 2018</span></span>
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39m
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<a class="text-decoration-none" href="/posts/6655712-code-review-for-community-change"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/31699023/75x75/c 75w, https://audioboom.com/i/31699023/150x150/c 150w, https://audioboom.com/i/31699023/300x300/c 300w, https://audioboom.com/i/31699023/600x600/c 600w, https://audioboom.com/i/31699023/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #050505; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/31699023/1400x1400/c" />
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Code Review for Community Change 
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On this episode of Talking Machines we take a break from our regular format to talk about the “code review of community culture” that the AI, ML, Stats and Computer Science fields in general need to undergo. In a blog post, that was put up shortly after NIPS, researcher Kristian Lum outlined several instances of sexual harassment and abuse of power. In her post she mentioned Brad Carlin and a p...
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35m
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<span><span class="js-time" data-epochtime="1518091740" data-format="short_date">Feb 08, 2018</span></span>
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35m
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<a class="text-decoration-none" href="/posts/6368455-the-pace-of-change-and-the-public-view-of-ml"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/28790973/75x75/c 75w, https://audioboom.com/i/28790973/150x150/c 150w, https://audioboom.com/i/28790973/300x300/c 300w, https://audioboom.com/i/28790973/600x600/c 600w, https://audioboom.com/i/28790973/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/28790973/1400x1400/c" />
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The Pace of Change and The Public View of ML
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In episode ten of season three we talk about the rate of change (prompted by Tim Harford), take a listener question about the power of kernels, and talk with Peter Donnelly in his capacity with the Royal Society&#39;s Machine Learning Working Group about the work they&#39;ve done on the public&#39;s views on AI and ML.
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41m
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<span><span class="js-time" data-epochtime="1507179720" data-format="short_date">Oct 05, 2017</span></span>
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41m
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<a class="text-decoration-none" href="/posts/6326294-the-long-view-and-learning-in-person"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/28790973/75x75/c 75w, https://audioboom.com/i/28790973/150x150/c 150w, https://audioboom.com/i/28790973/300x300/c 300w, https://audioboom.com/i/28790973/600x600/c 600w, https://audioboom.com/i/28790973/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/28790973/1400x1400/c" />
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The Long View and Learning in Person 
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In episode nine of season three we chat about the difference between models and algorithms, take a listener question about summer schools and learning in person as opposed to learning digitally, and we chat with John Quinn of the United Nations Global Pulse lab in Kampala, Uganda and Makerere University&#39;s Artificial Intelligence Research group.
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1hr 6m
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<span><span class="js-time" data-epochtime="1506012720" data-format="short_date">Sep 21, 2017</span></span>
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1hr 6m
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<a class="text-decoration-none" href="/posts/6280348-machine-learning-in-the-field-and-bayesian-baked-goods"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/28790973/75x75/c 75w, https://audioboom.com/i/28790973/150x150/c 150w, https://audioboom.com/i/28790973/300x300/c 300w, https://audioboom.com/i/28790973/600x600/c 600w, https://audioboom.com/i/28790973/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/28790973/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Machine Learning in the Field and Bayesian Baked Goods 
</h5>
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In episode eight of season three we return to the epic (or maybe not so epic) clash between frequentists and bayesians, take a listener question about the ethical questions generators of machine learning should be asking of themselves (not just their tools) and we hear a conversation with Ernest Mwebaze of Makerere University.
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59m
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<span><span class="js-time" data-epochtime="1504834814" data-format="short_date">Sep 08, 2017</span></span>
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<a class="text-decoration-none" href="/posts/6215660-data-science-africa-with-dina-machuve"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/28790973/75x75/c 75w, https://audioboom.com/i/28790973/150x150/c 150w, https://audioboom.com/i/28790973/300x300/c 300w, https://audioboom.com/i/28790973/600x600/c 600w, https://audioboom.com/i/28790973/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/28790973/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Data Science Africa with Dina Machuve
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<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode seven of season three we take a minute to break way from our regular format and feature a conversation with Dina Machuve of the Nelson Mandela African Institute of Science and Technology we cover everything from her work to how cell phone access has changed data patterns. We got to talk with her at the Data Science Africa confrence and workshop.
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48m
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<span><span class="js-time" data-epochtime="1502407980" data-format="short_date">Aug 10, 2017</span></span>
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48m
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<a class="text-decoration-none" href="/posts/6156521-the-church-of-bayes-and-collecting-data"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/28790973/75x75/c 75w, https://audioboom.com/i/28790973/150x150/c 150w, https://audioboom.com/i/28790973/300x300/c 300w, https://audioboom.com/i/28790973/600x600/c 600w, https://audioboom.com/i/28790973/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/28790973/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
The Church of Bayes and Collecting Data
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode six of season three we chat about the difference between frequentists and Bayesians, take a listener question about techniques for panel data, and have an interview with Katherine Heller of Duke
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50m
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<span><span class="js-time" data-epochtime="1501200300" data-format="short_date">Jul 28, 2017</span></span>
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<a class="text-decoration-none" href="/posts/6108714-getting-a-start-in-ml-and-applied-ai-at-facebook"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/28790973/75x75/c 75w, https://audioboom.com/i/28790973/150x150/c 150w, https://audioboom.com/i/28790973/300x300/c 300w, https://audioboom.com/i/28790973/600x600/c 600w, https://audioboom.com/i/28790973/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/28790973/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Getting a Start in ML and Applied AI at Facebook
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode five of season three we compare and contrast AI and data science, take a listener question about getting started in machine learning, and listen to an interview with Joaquin Quiñonero Candela. For a great place to get started with foundational ideas in ML, take a look at Andrew Ng’s course on Coursera. Then check out Daphne Kohler’s course.

Talking Machines is now working with Midro...
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58m
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<span><span class="js-time" data-epochtime="1499987640" data-format="short_date">Jul 13, 2017</span></span>
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<a class="text-decoration-none" href="/posts/6068724-bias-variance-dilemma-for-humans-and-the-arm-farm"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/28790973/75x75/c 75w, https://audioboom.com/i/28790973/150x150/c 150w, https://audioboom.com/i/28790973/300x300/c 300w, https://audioboom.com/i/28790973/600x600/c 600w, https://audioboom.com/i/28790973/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/28790973/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Bias Variance Dilemma for Humans and the Arm Farm
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode four of season three Neil introduces us to the ideas behind the bias variance dilemma (and how how we can think about it in our daily lives). Plus, we answer a listener question about how to make sure your neural networks don&#39;t get fooled. Our guest for this episode is Jeff Dean,  Google Senior Fellow in the Research Group, where he leads the Google Brain project. We talk about a clo...
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<span><span class="js-time" data-epochtime="1498755060" data-format="short_date">Jun 29, 2017</span></span>
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<a class="text-decoration-none" href="/posts/6020769-overfitting-and-asking-ecological-questions-with-ml"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/28790973/75x75/c 75w, https://audioboom.com/i/28790973/150x150/c 150w, https://audioboom.com/i/28790973/300x300/c 300w, https://audioboom.com/i/28790973/600x600/c 600w, https://audioboom.com/i/28790973/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/28790973/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Overfitting and Asking Ecological Questions with ML
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41m
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<span><span class="js-time" data-epochtime="1497554894" data-format="short_date">Jun 15, 2017</span></span>
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41m
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<a class="text-decoration-none" href="/posts/5958906-graphons-and-inferencing"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Graphons and &quot;Inferencing&quot; 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode two of season three Neil takes us through the basics on dropout, we chat about the definition of inference (It&#39;s more about context than you think!) and hear an interview with Jennifer Chayes of Microsoft.
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42m
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<span><span class="js-time" data-epochtime="1495724427" data-format="short_date">May 25, 2017</span></span>
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42m
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<a class="text-decoration-none" href="/posts/5865322-hosts-of-talking-machines-neil-lawrence-and-ryan-adams"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Hosts of Talking Machines: Neil Lawrence and Ryan Adams 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
Talking Machines is entering its third season and going through some changes. Our founding host Ryan is moving on and in his place Neil Lawrence of Amazon is taking over as co host. We say thank you and good bye to Ryan with an interview about his work.
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34m
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<span><span class="js-time" data-epochtime="1493299620" data-format="short_date">Apr 27, 2017</span></span>
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34m
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<a class="text-decoration-none" href="/posts/5218961-anglican-and-probabilistic-programming"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
ANGLICAN and Probabilistic Programming 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode seventeen of season two we get an introduction to Min Hashing, talk with Frank Wood the creator of ANGLICAN, about probabilistic programming and his new company, INVREA, and take a listener question about how to choose an architecture when using a neural network.
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44m
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<span><span class="js-time" data-epochtime="1472744700" data-format="short_date">Sep 01, 2016</span></span>
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44m
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<a class="text-decoration-none" href="/posts/5026834-eric-lander-and-restricted-boltzmann-machines"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Eric Lander and Restricted Boltzmann Machines 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode sixteen of season two, we get an introduction to Restricted Boltzmann Machines, we take a listener question about tuning hyperparameters,  plus we talk with Eric Lander of the Broad Institute.
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54m
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<span><span class="js-time" data-epochtime="1471541820" data-format="short_date">Aug 18, 2016</span></span>
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54m
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<a class="text-decoration-none" href="/posts/4939128-generative-art-and-hamiltonian-monte-carlo"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Generative Art and Hamiltonian Monte Carlo
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode fifteen of season two, we talk about Hamiltonian Monte Carlo, we take a listener question about unbalanced data, plus we talk with Doug Eck of Google’s Magenta project.
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47m
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<span><span class="js-time" data-epochtime="1470321360" data-format="short_date">Aug 04, 2016</span></span>
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47m
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<a class="text-decoration-none" href="/posts/4866053-perturb-and-map-and-machine-learning-in-the-flint-water-crisis"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Perturb-and-MAP and Machine Learning in the Flint Water Crisis 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode fourteen of season two, we talk about Perturb-and-MAP, we take a listener question about classic artificial intelligence ideas being used in modern machine learning, plus we talk with Jake Abernethy of the University of Michigan about municipal data and his work on the Flint water crisis.
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
38m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1469095620" data-format="short_date">Jul 21, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
38m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4797602-automatic-translation-and-t-sne"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Automatic Translation and t-SNE
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE) we take a listener question about statistical physics, plus we talk with Hal Daume of the University of Maryland. (who is a great follow on Twitter.)
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
32m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1467907620" data-format="short_date">Jul 07, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
32m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4720549-fantasizing-cats-and-data-numbers"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Fantasizing Cats and Data Numbers 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode twelve of season two, we talk about generative adversarial networks, we take a listener question about using machine learning to improve or create products, plus we talk with Iain Murray of the University of Edinburgh.
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
49m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1466095800" data-format="short_date">Jun 16, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
49m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4654732-spark-and-icml"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Spark and ICML
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode eleven of season two, we talk about the machine learning toolkit  Spark, we take a listener question about the differences between NIPS and ICML conferences, plus we talk with Sinead Williamson of The University of Texas at Austin.
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
39m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1464887940" data-format="short_date">Jun 02, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
39m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4599001-computation-learning-theory-and-machine-learning-for-understanding-cells"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Computation Learning Theory and Machine Learning for Understanding Cells 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener question about generative systems, plus we talk with Aviv Regev, Chair of the Faculty and Director of the Klarman Cell Observatory and the Cell Circuits Program at the Broad Institute.
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
41m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1463667000" data-format="short_date">May 19, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
41m
</div>
</div>
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</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4535530-sparse-coding-and-madbits"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Sparse Coding and MADBITS
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode nine of season two, we talk about sparse coding, take a listener question about the next big demonstration for AI after AlphaGo. Plus we talk with Clement Farabet about MADBITS and the work he’s doing at Twitter Cortex.
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
41m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1462468102" data-format="short_date">May 05, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
41m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4468447-remembering-david-mackay"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Remembering David MacKay 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
Recently Professor David MacKay passed away. We’ll spend this episode talking about his extensive body of work and its impacts. We’ll also talk with Philipp Hennig, a research group leader at the Max Planck Institute for Intelligent Systems, who trained in Professor MacKay’s group (with Ryan).
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
53m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1461240720" data-format="short_date">Apr 21, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
53m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4404877-machine-learning-and-society"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Machine Learning and Society
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
Episode seven of season two is a little different than our usual episodes, Ryan and Katherine just returned from a conference where they got to talk with Neil Lawrence of the University of Sheffield about some of the larger issues surrounding machine learning and society. They discuss anthropomorphic intelligence, data ownership, and the ability to empathize. The entire episode is given over to...
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
48m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1460085180" data-format="short_date">Apr 08, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
48m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4352521-software-and-statistics-for-machine-learning"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Software and Statistics for Machine Learning 
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode six of season two, we talk about how to build software for machine learning (and what the roadblocks are), we take a listener question about how to start exploring a new dataset, plus, we talk with Rob Tibshirani of Stanford University.
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
39m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1458821700" data-format="short_date">Mar 24, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
39m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4285587-machine-learning-in-healthcare-and-the-alphago-matches"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Machine Learning in Healthcare and The AlphaGo Matches
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode five of Season two Ryan walks us through variational inference, we put some listener questions about Go and how to play it to Andy Okun, president of the American Go Association (who is in Seoul South Korea watching the Lee Sedol/AlphaGo games). Plus we hear from Suchi Saria of Johns Hopkins about applying machine learning to understanding health care data.
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
49m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1457627433" data-format="short_date">Mar 10, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
49m
</div>
</div>
</div>
</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4233286-ai-safety-and-the-legacy-of-bletchley-park"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
AI Safety and The Legacy of Bletchley Park
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode four of season two, we talk about some of the major issues in AI safety, (and how they’re not really that different from the questions we ask whenever we create a new tool.) One place you can go for other opinions on AI safety is the Future of Life Institute. We take a listener question about time series and we talk with Nick Patterson of the Broad Institute about everything from anc...
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
49m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1456413840" data-format="short_date">Feb 25, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
<div class="fs-8 numeric-tabular text-nowrap text-muted phs">
49m
</div>
</div>
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</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4175866-robotics-and-machine-learning-music-videos"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Robotics and Machine Learning Music Videos
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode three of season two Ryan walks us through the Alpha Go results and takes a lister question about using Gaussian processes for classifications. Plus we talk with Michael Littman of Brown University about his work, robots, and making music videos. Also not to be missed, Michael’s appearance in the recent Turbotax ad!
</div>
<div class="text-muted df align-items-baseline gap-2 fs-8">
<span class="numeric-tabular d-sm-none">
40m
</span>
<span class="d-sm-none">
&bull;
</span>
<span><span class="js-time" data-epochtime="1455206400" data-format="short_date">Feb 11, 2016</span></span>
</div>
</div>
</div>
<div class="d-none d-sm-grid" style="justify-self: center; align-items: center;">
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40m
</div>
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</a></div>
<hr class="mvn mhs text-black-50 opacity-25">
<div class="card rounded-0 border-0 pas qa-audio-clip-overview" style="--bs-card-bg: transparent;">
<a class="text-decoration-none" href="/posts/4118506-openai-and-gaussian-processes"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
OpenAI and Gaussian Processes
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<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode two of season two Ryan introduces us to Gaussian processes, we take a listener question on K-means. Plus, we talk with Ilya Sutskever the director of research for OpenAI. (For more from Ilya, you can listen to our season one interview with him.)
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35m
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<span><span class="js-time" data-epochtime="1454005206" data-format="short_date">Jan 28, 2016</span></span>
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35m
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<a class="text-decoration-none" href="/posts/4065691-real-human-actions-and-women-in-machine-learning"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Real Human Actions and Women in Machine Learning
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode one of season two, we celebrate the 10th anniversary of Women in Machine Learning (WiML) with its co-founder (and our guest host for this episode) Hanna Wallach of Microsoft Research. Hanna and Jenn Wortman Vaughan, who also helped to found the event, tell us how about how the 2015 event went. Lillian Lee (Google DeepMind), Raia Hadsell (Cornell), Been Kim (AI2/University of Washingt...
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59m
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<span><span class="js-time" data-epochtime="1452771300" data-format="short_date">Jan 14, 2016</span></span>
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59m
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<a class="text-decoration-none" href="/posts/3842057-open-source-releases-and-the-end-of-season-one"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Open Source Releases and The End of Season One
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode twenty four we talk with Ben Vigoda about his work in probabilistic programming (everything from his thesis, to his new company) Ryan talks about Tensor Flow and Autograd for Torch, some open source tools that have been recently releases. Plus we talk a listener question about the biggest thing in machine learning this year. This is the last episode in season one. We want to thanks a...
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41m
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<span><span class="js-time" data-epochtime="1448224667" data-format="short_date">Nov 22, 2015</span></span>
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<a class="text-decoration-none" href="/posts/3780153-probabilistic-programming-and-digital-humanities"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
 Probabilistic Programming and Digital Humanities
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In episode 23 we talk with David Mimno of Cornell University about his work in the digital humanities (and explore what machine learning can tell us about lady zombie ghosts and huge bodies of literature) Ryan introduces us to probabilistic programming and we take a listener question about knowledge transfer between math and machine learning.
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48m
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<span><span class="js-time" data-epochtime="1446759918" data-format="short_date">Nov 05, 2015</span></span>
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48m
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<a class="text-decoration-none" href="/posts/3726483-workshops-at-nips-and-crowdsourcing-in-machine-learning"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
 Workshops at NIPS and Crowdsourcing in Machine Learning
</h5>
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In episode twenty two we talk with Adam Kalai of Microsoft Research New England about his work using crowdsourcing in Machine Learning, the language made of shapes of words, and New England Machine Learning Day. We take a look at the workshops being presented at NIPS this year, and we take a listener question about changing the number of features your data has.
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48m
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<span><span class="js-time" data-epochtime="1445518380" data-format="short_date">Oct 22, 2015</span></span>
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<a class="text-decoration-none" href="/posts/3672234-machine-learning-mastery-and-cancer-clusters"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Machine Learning Mastery and Cancer Clusters
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<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode twenty one  we talk with Quaid Morris of the University of Toronto, who is using machine learning to find a better way to treat cancers. Ryan introduces us to expectation maximization and we take a listener question about how to master machine learning.
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27m
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<span><span class="js-time" data-epochtime="1444311000" data-format="short_date">Oct 08, 2015</span></span>
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<a class="text-decoration-none" href="/posts/3615389-data-from-video-games-and-the-master-algorithm"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Data from Video Games and The Master Algorithm
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode 20 we chat with Pedro Domingos of the University of Washington, he&#39;s just published a book The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. We get some insight into Linear Dynamical Systems which the Datta Lab at Harvard Medical School is doing some interesting work with. Plus, we take a listener question about using video games to generate...
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46m
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<span><span class="js-time" data-epochtime="1443128581" data-format="short_date">Sep 24, 2015</span></span>
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<a class="text-decoration-none" href="/posts/3564051-strong-ai-and-autoencoders"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Strong AI and Autoencoders
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In episode nineteen we chat with Hugo Larochelle about his work on unsupervised learning, the International Conference on Learning Representations (ICLR), and his teaching style. His Youtube courses are not to be missed, and his twitter feed @Hugo_Larochelle is a great source for paper reviews. Ryan introduces us to autoencoders (for more, turn to the work of Richard Zemel) plus we tackle the q...
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37m
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<span><span class="js-time" data-epochtime="1441904400" data-format="short_date">Sep 10, 2015</span></span>
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37m
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<a class="text-decoration-none" href="/posts/3509666-active-learning-and-machine-learning-in-neuroscience"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Active Learning and Machine Learning in Neuroscience
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode eighteen we talk with Sham Kakade, of Microsoft Research New England, about his expansive work which touches on everything from neuroscience to theoretical machine learning. Ryan introduces us to active learning and we take a question on evolutionary algorithms. Today we&#39;re announcing that season two of Talking Machines is moving into development, but we need your help! In order to r...
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54m
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<span><span class="js-time" data-epochtime="1440688365" data-format="short_date">Aug 27, 2015</span></span>
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54m
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<a class="text-decoration-none" href="/posts/3465657-machine-learning-in-biology-and-getting-into-grad-school"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Machine Learning in Biology and Getting into Grad School
</h5>
<div class="text-line-clamp text-line-clamp-3 balanced-p fs-8 text-muted text-break">
In episode seventeen we talk with Jennifer Listgarten of  Microsoft Research New England about her work using machine learning to answer questions in biology. Recently, she’s used to machine learning to make CRISPR more efficient and sort populations in GWAS studies. We take a question from a listener about the development of computational biology and Ryan gives us some great advice on how to g...
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48m
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<span><span class="js-time" data-epochtime="1439485667" data-format="short_date">Aug 13, 2015</span></span>
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48m
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<a class="text-decoration-none" href="/posts/3422131-machine-learning-for-sports-and-real-time-predictions"><div class="Episode-list-grid card-body pan">
<div class="l-flex align-items-baseline gap-2 gap-md-3">
<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
<div class="vstack gap-1 my-auto">
<h5 class="text-line-clamp text-line-clamp-3 balanced-h fs-6 fs-5-lg fw-normal mb-0">
Machine Learning for Sports and Real Time Predictions 
</h5>
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In episode sixteen we chat with Danny Tarlow of Microsoft Research Cambridge (in the UK not MA). Danny (along with Chris Maddison and Tom Minka) won best paper at NIPS 2014 for his paper A* Sampling. We talk with him about his work in applying machine learning to sports and politics. Plus we take a listener question on making real time predictions using machine learning, and we demystify backpr...
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29m
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<span><span class="js-time" data-epochtime="1438268814" data-format="short_date">Jul 30, 2015</span></span>
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29m
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<a class="text-decoration-none" href="/posts/3379851-really-really-big-data-and-machine-learning-in-business"><div class="Episode-list-grid card-body pan">
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Really Really Big Data and Machine Learning in Business 
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In episode fifteen we talk with Max Welling, of the University of Amsterdam and University of California Irvine. We talk with him about his work with extremely large data and big business and machine learning. Max was program co-chair for NIPS in 2013 when Mark Zuckerberg visited the conference, an event which Max wrote very thoughtfully about. We also take a listener question about the relatio...
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<span><span class="js-time" data-epochtime="1437065862" data-format="short_date">Jul 16, 2015</span></span>
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<a class="text-decoration-none" href="/posts/3338760-solving-intelligence-and-machine-learning-fundamentals"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
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Solving Intelligence and Machine Learning Fundamentals
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In episode fourteen we talk with Nando de Freitas. He’s a professor of Computer Science at the University of Oxford and a senior staff research scientist Google DeepMind. Right now he’s focusing on solving intelligence. (No biggie) Ryan introduces us to anchor words and how they can help us expand our ability to explore topic models. Plus, we take a question about the fundamentals of tackling a...
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<span><span class="js-time" data-epochtime="1435872672" data-format="short_date">Jul 02, 2015</span></span>
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<a class="text-decoration-none" href="/posts/3308686-working-with-data-and-machine-learning-in-advertising"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
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Working With Data and Machine Learning in Advertising
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In episode thirteen we talk with Claudia Perlich, Chief Scientist at Dstillery. We talk about her work using machine learning in digital advertising and her approach to data in competitions. We take a look at information leakage in competitions after ImageNet Challenge this year. The New York Times covered the events, and Neil Lawrence has been writing thoughtfully about it and its impact. Plus...
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<span><span class="js-time" data-epochtime="1434645342" data-format="short_date">Jun 18, 2015</span></span>
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<a class="text-decoration-none" href="/posts/3308687-the-economic-impact-of-machine-learning-and-using-the-kernel-trick-on-big-data"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
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The Economic Impact of Machine Learning and Using The Kernel Trick on Big Data
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In episode twelve we talk with Andrew Ng, Chief Scientist at Baidu, about how speech recognition is going to explode the way we use mobile devices and his approach to working on the problem. We also discuss why we need to prepare for the economic impacts of machine learning. We’re introduced to Random Features for Large-Scale Kernel Machines, and talk about how using this twist on the Kernel tr...
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<span><span class="js-time" data-epochtime="1433426230" data-format="short_date">Jun 04, 2015</span></span>
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<a class="text-decoration-none" href="/posts/3308689-how-we-think-about-privacy-and-finding-features-in-black-boxes"><div class="Episode-list-grid card-body pan">
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<img srcset="https://audioboom.com/i/15246083/75x75/c 75w, https://audioboom.com/i/15246083/150x150/c 150w, https://audioboom.com/i/15246083/300x300/c 300w, https://audioboom.com/i/15246083/600x600/c 600w, https://audioboom.com/i/15246083/1400x1400/c 1400w" sizes="(max-width: 400px) 64px, 96px" style="background-color: #ffffff; max-width: 96px; width: 15cqw;" class="js-img-bg ratio-square rounded-1" loading="lazy" src="https://audioboom.com/i/15246083/1400x1400/c" />
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How We Think About Privacy and Finding Features in Black Boxes
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In episode eleven we chat with Neil Lawrence from the University of Sheffield. We talk about the problems of privacy in the age of machine learning, the responsibilities that come with using ML tools and making data more open. We learn about the Markov decision process (and what happens when you use it in the real world and it becomes a partially observable Markov decision process) and take a l...
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<span><span class="js-time" data-epochtime="1432237575" data-format="short_date">May 21, 2015</span></span>
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