Stumbling Through Markov Chains
Wherein I talk about random walks in the context of a place we’ve all been before.
Bayesian Basics
Wherein I apply Bayes’ Theorem to something we’re all thinking about.
Solving Multi-Armed Bandits
Using the ε-greedy approach to solving the multi-armed bandit problem.
A Machine Learning Quicky — Why Use L2 Regularization
Programming in Python for Peak Performance
Wherein I cover a few ways to write your Python code without using a for loop