Technical Notes

Welcome to my collection of technical notes and tutorials. Here you’ll find detailed explanations and implementations across various topics in computer science and machine learning.

Reinforcement Learning

• Theoretical foundations of RL
• Implementation guides
• Case studies and applications

Statistics

• Probability theory
• Statistical inference
• Applied statistics in ML

Machine Learning

• Classical ML algorithms
• Deep learning
• Practical implementations