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Talking Machines: The long view and learning in person, with John Quinn
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 we chat with John Quinn of the United Nations Global Pulse lab in Kampala, Uganda and Makerere University’s Artificial Intelligence Research group.
If you enjoyed this episode, you may also want to listen to:
- 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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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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