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Talking Machines: Machine Learning in the Field and Bayesian Baked Goods, with Ernest Mwebaze
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 learning should be asking of themselves (not just their tools) and we hear a conversation with Ernest Mwebaze of Makerere University.
If you enjoyed this episode, you may also want to listen to:
- 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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Talking Machines
is your window into the world of machine learning.
Talking Machines
is your window into the world of machine learning.
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