. Get started with XGBoost (work in progress)
. The Central Limit Theorem and the Normal approximation to the Binomial Distribution
. A look at Bayesian modeling and MCMC
. Out-of-core Text Classification with a Hashing Vectorizer
. Introduction to Variational Autoencoders with TensorFlow
. Backpropagation. Make your own neural network with Numpy
. Intermediate Python, a look at Decorators
. Getting started with Torch? Simple Multi-class classification