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Welcome to my blog

Here I regularly share my learning and projects. I’m interested in a wide range of topics spanning several branches of Machine Learning and Statistics.

My first articles are dedicated to Reinforcement Learning, the topic that inspired me to start my writing journey.

Here’s a list of my current articles, as well as topics I’m planning to cover. For each category, I recommend that the following reading order:

Reinforcement Learning

1 Markov Decision Processes: framing Reinforcement Learning problems efficiently

2 The Bellman Equation: the fundamental equation of Reinforcement Learning

3 Policy Iteration on Frozen Lake: solving a simple environment

4 Temporal-Difference Learning and the importance of exploration: an illustrated guide

Machine Learning (coming soon)

[1] Coding a Neural Network from scratch with JAX: an illustrated guide

Statistics (coming soon)

[1] The KL-Divergence: measuring distance between probability distributions