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Talking Machines
Talking Machines: Bias variance dilemma for humans and the arm farm, with Jeff Dean
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...
03 July 2017, by
Talking Machines
Talking Machines: Overfitting and asking ecological questions, with Professor (Emeritus) Tom Dietterich
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...
16 June 2017, by
Talking Machines
Talking machines: Graphons and “inferencing”
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...
30 May 2017, by
Talking Machines
Hosts of Talking Machines: Neil Lawrence and Ryan Adams
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 ...
28 April 2017, by
Talking Machines
Talking Machines: Restricted Boltzmann Machines, with Eric Lander
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....
09 September 2016, by
Talking Machines
Talking Machines: Generative art and Hamiltonian Monte Carlo, with Doug Eck
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....
17 August 2016, by
Talking Machines
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Talking Machines: Machine learning and the Flint water crisis, with Jake Abernethy
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...
27 July 2016, by
Talking Machines
Talking Machines: Automatic Translation and t-SNE, with Hal Daume
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 ...
08 July 2016, by
Talking Machines
Talking Machines: Fantasizing cats and data numbers, with Iain Murray
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...
20 June 2016, by
Talking Machines
Talking Machines: Spark and ICML, with Sinead Williamson
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...
06 June 2016, by
Talking Machines
Talking Machines: Computational learning theory and machine learning for understanding cells, with Aviv Regev
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...
24 May 2016, by
Talking Machines
Talking Machines: Sparse Coding and MADBITS, with Clement Farabet
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...
09 May 2016, by
Talking Machines
Talking Machines: Machine learning and society, with Neil Lawrence
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...
08 April 2016, by
Talking Machines
Talking Machines: Software and statistics for machine learning, with Rob Tibshirani
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...
27 March 2016, by
Talking Machines
Talking Machines: Robotics and machine learning music videos, with Michael Littman
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...
17 February 2016, by
Talking Machines
Talking Machines: Gaussian processes and OpenAI, with IIya Sutskever
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...
29 January 2016, by
Talking Machines
Talking Machines: Real human actions and Women in Machine Learning (WiML), with Jenn Wortman Vaughan
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....
28 January 2016, by
Talking Machines
Why we need journalism about machine learning
[clear]
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...
25 September 2015, by
Talking Machines