Podcasts

Mike Lee Williams on Probabilistic Programming, Bayesian Inference, and Languages Like PyMC3

Reisz talks with Mike Lee Williams of Cloudera’s Fast Forward Labs about Probabilistic Programming. The two discuss how Bayesian Inference works, how it’s used in Probabilistic Programming, production-level languages in the space, and some of the implementations/libraries that we’re seeing.

Jendrik Joerdening and Anthony Navarro on Self-Racing Cars Using Deep Neural Networks

Jendrik Joerdening and Anthony Navarro describe how a team of 17 Udacity students entered a self-racing car event using a Neural Network built with using Keras and Tensorflow to steer the car and just one front-facing camera.