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.
If you enjoyed this episode, you may also want to listen to:
- Talking Machines: The long view and learning in person, with John Quinn
- Talking Machines: Machine Learning in the Field and Bayesian Baked Goods, with Ernest Mwebaze
- Talking Machines: Data Science Africa, with Dina Machuve
- Talking Machines: The church of Bayes and collecting data, with Katherine Heller
- Talking Machines: Getting a start in ML and applied AI at Facebook, with Joaquin Quiñonero Candela
- Talking Machines: Bias variance dilemma for humans and the arm farm, with Jeff Dean
- Talking Machines: Overfitting and asking ecological questions, with Tom Dietterich
- Talking Machines: Restricted Boltzmann Machines, with Eric Lander
- Talking Machines: Automatic Translation and t-SNE, with Hal Daume
- Talking Machines: Generative art and Hamiltonian Monte Carlo, with Doug Eck
- Talking Machines: Machine learning and the Flint water crisis, with Jake Abernethy
- Talking Machines: Gaussian processes and OpenAI, with IIya Sutskever
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