README.md

This repository contains all my notes during my MPhil in Machine Learning and Machine Intelligence at the University of Cambridge (2024-2025). For suggestions and inquiries, feel free to reach out via [email protected]

Index

Introduction to Machine Learning (MLMI1)

• Background
• Inference
• Regression
• Classification
• Clustering
• Sequence Modeling

Reference Book: Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.

Probabilistic Machine Learning (4F13)

• Parametric Models
• Gaussian Processes
• Probabilistic Ranking
• Factor Graphs
• Text Modeling

Reference Book: Rasmussen, C. E., & Williams, C. K. I. (2006). Gaussian Processes for Machine Learning. MIT Press.

Docs: https://mlg.eng.cam.ac.uk/teaching/4f13/2425/

Tasks:

• changes images with format