In this post I go through the algorithms presented in the groundbreaking AlphaGo Zero paper using pseudocode. The objective is to provide a high-level idea of what the model does. Why AlphaGo Zero matters Last week, Google DeepMind published their final iteration of AlphaGo, AlphaGo Zero. To say its performance is remarkable is an understatement. AlphaGo Zero made two breakthroughs: … Read More
Counterintuitive Probabilities: Typical Sets from Information Theory
Suppose we have a coin that has a 3/4 chance of landing on heads (call this 0) and a 1/4 chance of landing on tails (1). Which of the 16-toss sequences below is most likely? 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 … Read More
How I completed Udacity’s Machine Learning ND in just over one month
How can we learn more effectively in a short amount of time? In this post, I describe how I went about finishing Udacity’s Machine Learning Nanodegree in about a month when it usually takes 6-12 months. I hope this will give you some insight and ideas as to how you might work more effectively to accomplish your own learning goals. Sections in … Read More