Talking Machines

Tote Bag Productions

Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers.

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Top 10 Talking Machines Episodes

Goodpods has curated a list of the 10 best Talking Machines episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Talking Machines for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Talking Machines episode by adding your comments to the episode page.

Eric Lander and Restricted Boltzmann Machines

Talking Machines

08/18/16 • 53 min

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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Generative Art and Hamiltonian Monte Carlo

Talking Machines

08/04/16 • 47 min

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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Perturb-and-MAP and Machine Learning in the Flint Water Crisis

Talking Machines

07/21/16 • 38 min

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.

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Computational Learning Theory and Machine Learning for Understanding Cells

Talking Machines

05/19/16 • 40 min

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.

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Spark and ICML

Talking Machines

06/02/16 • 39 min

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.

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AI Safety and The Legacy of Bletchley Park

Talking Machines

02/25/16 • 48 min

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 ancient DNA to Alan Turing. If you're as excited about AlphaGo playing Lee Sedol at Nick is, you can get details on the match on DeepMind's You Tube channel March 5th through the 15th.

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Machine Learning in Healthcare and The AlphaGo Matches

Talking Machines

03/10/16 • 48 min

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.

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Workshops at NIPS and Crowdsourcing in Machine Learning

Talking Machines

10/22/15 • 47 min

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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Using Models in the Wild and Women in Machine Learning

Talking Machines

02/12/15 • 45 min

In episode four we talk with Hanna Wallach, of Microsoft Research. She's also a professor in the Department of Computer Science, University of Massachusetts Amherst and one of the founders of Women in Machine Learning (better known as WiML). We take a listener question about scalability and the size of data sets. And Ryan takes us through topic modeling using Latent Dirichlet allocation (say that five times fast).

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Natural vs Artificial Intelligence and Doing Unexpected Work

Talking Machines

03/08/18 • 58 min

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 guests this week are Moshe Vardi, Karen Ostrum George Distinguished Service Professor in Computational Engineering and Director of the Ken Kennedy Institute for Information Technology at Rice University and Margaret Levi Director of the Center for Advanced Study in the Behavioral Sciences(CASBS) at Stanford and Professor of Political Science, Stanford University, and Jere L. Bacharach Professor Emerita of International Studies in the Department of Political Science at the University of Washington. They co-organized a symposium put on by the American Academy of Arts and Sciences and the Royal Society about the future of work. We got a chance to speak to both of them about their work and the event.

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FAQ

How many episodes does Talking Machines have?

Talking Machines currently has 110 episodes available.

What topics does Talking Machines cover?

The podcast is about News, Tech News, Podcasts and Technology.

What is the most popular episode on Talking Machines?

The episode title 'Predicting Floods and Really Doing Good' is the most popular.

What is the average episode length on Talking Machines?

The average episode length on Talking Machines is 41 minutes.

How often are episodes of Talking Machines released?

Episodes of Talking Machines are typically released every 14 days, 1 hour.

When was the first episode of Talking Machines?

The first episode of Talking Machines was released on Jan 1, 2015.

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Talking Machines

Tote Bag Productions

Top 10 Talking Machines Episodes

FAQ

How many episodes does Talking Machines have?

What topics does Talking Machines cover?

What is the most popular episode on Talking Machines?

What is the average episode length on Talking Machines?

How often are episodes of Talking Machines released?

When was the first episode of Talking Machines?

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