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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Natural vs Artificial Intelligence and Doing Unexpected Work

Natural vs Artificial Intelligence and Doing Unexpected Work

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 w...

8 Maalis 201858min

Scientific Rigor and Turning Information into Action

Scientific Rigor and Turning Information into Action

In episode two of season four we're proud to bring you the second annual "Hosts of Talking Machine's Episode"! Ryan and Neil chat about Ali Rahimi's speech at NIPS-17, Kate Crawford's talk The Trouble...

22 Helmi 201838min

Code Review for Community Change

Code Review for Community Change

On this episode of Talking Machines we take a break from our regular format to talk about the “code review of community culture” that the AI, ML, Stats and Computer Science fields in general need to u...

8 Helmi 201835min

The Pace of Change and The Public View of ML

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 Ro...

5 Loka 201740min

The Long View and Learning in Person

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 w...

21 Syys 20171h 5min

Machine Learning in the Field and Bayesian Baked Goods

Machine Learning in the Field and Bayesian Baked Goods

In episode eight of season three we return to the epic (or maybe not so epic) clash between frequentists and bayesians, take a listener question about the ethical questions generators of machine learn...

8 Syys 201759min

Data Science Africa with Dina Machuve

Data Science Africa with Dina Machuve

In episode seven of season three we take a minute to break way from our regular format and feature a conversation with Dina Machuve of the Nelson Mandela African Institute of Science and Technology we...

10 Elo 201748min

The Church of Bayes and Collecting Data

The Church of Bayes and Collecting Data

In episode six of season three we chat about the difference between frequentists and Bayesians, take a listener question about techniques for panel data, and have an interview with Katherine Heller of...

28 Heinä 201749min

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