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Talking Machines
Talking Machines: Bias variance dilemma for humans and the arm farm, with Jeff Dean
Talking Machines
03 Jul 2017
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 t...
Talking Machines: Overfitting and asking ecological questions, with Professor (Emeritus) Tom Dietterich
Talking Machines
16 Jun 2017
In episode three, season three of Talking Machines, we dive into overfitting, take a listener question about unbalanced data and speak with Professor (Emeritus) Tom Dietterich from Oregon State Univer...
Talking machines: Graphons and “inferencing”
Talking Machines
30 May 2017
In episode two of season three Neil takes us through the basics on dropout, we chat about the definition of inference (It's more about context than you think!) and hear an interview with Jennifer Chay...
Hosts of Talking Machines: Neil Lawrence and Ryan Adams
Talking Machines
28 Apr 2017
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 ...
Talking Machines: Restricted Boltzmann Machines, with Eric Lander
Talking Machines
09 Sep 2016
In episode sixteen of season two, we get an introduction to Restricted Boltzmann Machines, take a listener question about tuning hyperparameters, plus, speak with Eric Lander of the Broad Institute....
Talking Machines: Generative art and Hamiltonian Monte Carlo, with Doug Eck
Talking Machines
17 Aug 2016
In episode fifteen of season two, we talk about Hamiltonian Monte Carlo, take a listener question about unbalanced data, plus, speak with Doug Eck of Google’s Magenta project....
Talking Machines: Machine learning and the Flint water crisis, with Jake Abernethy
Talking Machines
27 Jul 2016
In episode fourteen of season two, we discuss Perturb-and-MAP and answer a listener question about classic artificial intelligence ideas being used in modern machine learning. Plus, we speak with Ja...
Talking Machines: Automatic Translation and t-SNE, with Hal Daume
Talking Machines
08 Jul 2016
In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE), take a listener question about statistical physics, plus, speak with Hal Daume of the University ...
Talking Machines: Fantasizing cats and data numbers, with Iain Murray
Talking Machines
20 Jun 2016
In episode twelve of season two, we discuss generative adversarial networks, take a listener question about using machine learning to improve or create products, and lastly, speak with Iain Murray fro...
Talking Machines: Spark and ICML, with Sinead Williamson
Talking Machines
06 Jun 2016
In episode eleven of season two, we talk about the machine learning toolkit Spark and answer a listener question about the difference between Neural Information Processing Systems (NIPS) and Interna...
Talking Machines: Computational learning theory and machine learning for understanding cells, with Aviv Regev
Talking Machines
24 May 2016
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 ques...
Talking Machines: Sparse Coding and MADBITS, with Clement Farabet
Talking Machines
09 May 2016
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...
Talking Machines: Machine learning and society, with Neil Lawrence
Talking Machines
08 Apr 2016
Episode seven of season two is a little different than our usual episodes; Ryan and Katherine returned from a conference where they got to talk with Neil Lawrence from University of Sheffield about so...
Talking Machines: Software and statistics for machine learning, with Rob Tibshirani
Talking Machines
27 Mar 2016
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 t...
Talking Machines: Robotics and machine learning music videos, with Michael Littman
Talking Machines
17 Feb 2016
In episode three of season two, Ryan walks us through the Alpha Go results and answers a listeners' question about using Gaussian processes for classifications. Plus, we talk with Michael Littman of...
Talking Machines: Gaussian processes and OpenAI, with IIya Sutskever
Talking Machines
29 Jan 2016
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 Ily...
Talking Machines: Real human actions and Women in Machine Learning (WiML), with Jenn Wortman Vaughan
Talking Machines
28 Jan 2016
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....
Why we need journalism about machine learning
Talking Machines
25 Sep 2015
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Talking Machines is in the process of raising funds to defray the cost of producing our first season and to help us start production on our second season. On the show we’ve talked about h...
