Strongly recommend this podcast, the hosts and guests share deep understanding about topics from Machine Learning and Artificial Intelligence, which I believe is very helpful to clarify some basic concepts and eliminate misleading ideas.
The latest episode is talking about the basics about the dropout in Deep Learning and various opinions on Inferencing among different research groups. It raises a very interesting question, does Inference equal prediction? 🙂
Here are some episodes:
- The History of Machine Learning from the Inside Out (conversation with Geoffrey Hinton (Google and University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook and NYU). )
- Eric Lander and Restricted Boltzmann Machines
- Automatic Translation and t-SNE
- … …
Hope you enjoy it like I do.