Rank #1: Debating Project Debater and Hello NeurIPS
In our last episode for season five Katherine and Neil debate his debating project debater and talk about whats coming up at NeurIPS. Hope to see you there!
Nov 21 2019
Rank #2: Common Sense Problems and Learning about Machine Learning
Jan 29 2015
Rank #5: The Pace of Change and The Public View of ML
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's Machine Learning Working Group about the work they've done on the public's views on AI and ML.
Oct 05 2017
Rank #6: Eric Lander and Restricted Boltzmann Machines
Aug 18 2016
Rank #7: Using Models in the Wild and Women in Machine Learning
Feb 12 2015
Rank #8: Explainability and the Inexplicable
Apr 19 2018
Rank #9: The Bezos Paradox and Machine Learning Languages
Feb 01 2019
Rank #10: De-Enchanting AI with the Law
Nov 07 2019
Rank #11: Getting a Start in ML and Applied AI at Facebook
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.
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Jul 13 2017
Rank #12: Machine Learning and Society
Apr 08 2016
Rank #13: Jupyter Notebooks and Modern Model Distribution
In episode four of season five we talk about Jupyter Notebooks and Neil's dream of a world craft software and devices, we take a listener question about the conversation surrounding Open AI's GPT-2 its announcement and the coverage and we hear an interview with Brooks Paige of the Alan Turing Instiute
Feb 28 2019
Rank #14: OpenAI and Gaussian Processes
Jan 28 2016
Rank #15: ANGLICAN and Probabilistic Programming
Sep 01 2016
Rank #16: Not What But Why
Aug 15 2019
Rank #17: Good Data Practice Rules
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.
Apr 05 2018
Rank #18: The Long View and Learning in Person
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's Artificial Intelligence Research group.
Sep 21 2017
Rank #19: Spark and ICML
Jun 02 2016
Rank #20: The Automatic Statistician and Electrified Meat
Mar 26 2015