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.
For a great place to get started with foundational ideas in ML, take a look at Andrew Ng’s course on Coursera. Then check out Daphne Kohler’s course.
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If you enjoyed this episode, you may also want to listen to:
- 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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