# STATS214 / CS229M: Machine Learning Theory

## Course Introduction

- **University**: Stanford
- **Prerequisites**: Machine Learning, Deep Learning, Statistics
- **Course Difficulty**: 🌟🌟🌟🌟🌟🌟
- **Course Website**: [STATS214 / CS229M](http://web.stanford.edu/class/stats214/)

This course offers a rigorous blend of classical learning theory and the latest developments in deep learning theory, making it exceptionally challenging and comprehensive. Previously taught by Percy Liang, the course is now led by Tengyu Ma, ensuring a high level of expertise and insight into the theoretical aspects of machine learning. 

The curriculum is designed for students with a solid foundation in machine learning, deep learning, and statistics, aiming to deepen their understanding of the underlying theoretical principles in these fields. This course is an excellent choice for anyone looking to gain a thorough understanding of both the traditional and contemporary theoretical approaches in machine learning.