Talking Machines 

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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Title	Date published
The Pace of Change and The Public View of ML	2017-10-05
The Long View and Learning in Person	2017-09-21
Machine Learning in the Field and Bayesian Baked Goods	2017-09-08
Data Science Africa with Dina Machuve	2017-08-10
The Church of Bayes and Collecting Data	2017-07-28
Getting a Start in ML and Applied AI at Facebook	2017-07-13
Bias Variance Dilemma for Humans and the Arm Farm	2017-06-29
Overfitting and Asking Ecological Questions with ML	2017-06-15
Graphons and "Inferencing"	2017-05-25
Hosts of Talking Machines: Neil Lawrence and Ryan Adams	2017-04-27
ANGLICAN and Probabilistic Programming	2016-09-01
Eric Lander and Restricted Boltzmann Machines	2016-08-18
Generative Art and Hamiltonian Monte Carlo	2016-08-04
Perturb-and-MAP and Machine Learning in the Flint Water Crisis	2016-07-21
Automatic Translation and t-SNE	2016-07-07
Fantasizing Cats and Data Numbers	2016-06-16
Spark and ICML	2016-06-02
Computational Learning Theory and Machine Learning for Understanding Cells	2016-05-19
Sparse Coding and MADBITS	2016-05-05
Remembering David MacKay	2016-04-21

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