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 Duke.
If you enjoyed this episode, you may also want to listen to:
- 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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