Wiki

Welcome to the Wiki page! Here you'll find my writtings and resources collected about reinforcement learning, statistics and general machine learning.

Why?

I began writing as a way to deepen my understanding of the topics I was studying, approaching them as if I were explaining them to myself. This blog is a reflection of that journey, a place where I can share my passion for learning and exploration.

Whether you're a fellow researcher, a curious student, or someone with a love for learning, I hope you'll find value in my writings.

Feel free to reach out with questions, suggestions, or collaboration ideas. Make yourself at home.

📄️ Reinforcement Learning

This documentation is designed to be an additional resource for students and a reliable, interactive knowledge base for anyone interested in reinforcement learning (RL). It provides a summary of the material covered in the:

📄️ Machine Learning

This documentation is designed to be an additional resource for students and a reliable, interactive knowledge base for anyone interested in machine learning (ML). It covers the content from the University of Alberta's courses:

📄️ Statistics

Statistics provides the foundational language and tools for understanding, modeling, and reasoning about the topics covered in this page: machine learning, reinforcement learning, and experiment design. This section serves as a concise, accessible introduction to fundamental statistical concepts. Each page explores a specific topic, providing clear definitions, examples, and connections to practical applications in ML, RL, and experimentation.