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* GFW translation * translate usage * [FIX] Fix giscus plugin (#543) * [Translate] translate CS188/Docker/GUN_Make (#540) * complete eng_version for deep learning folder * fix typo * add english version for machine learning systems * Update AICS.en.md Adjust indentation * [ADD]add translation for CS188 * [ADD]add translation for Docker * [UPDATE]update file name * [ADD]add translation for GNU_Make * [FIX]fix typo * [FIX]fix spacing error * translate github * translate thesis writing * translate tools * translate NJUOS * translate CS122 * translate CS346 * translate 15799 * translate CS148 * translate games101 * translate games202 * translate games103 * translate advanced ML * translate CS plan * nits * translate scoop * translate CA * translate information retrieval * translate Decal && AUT * translate workflow --------- Co-authored-by: nzomi <jly14@tsinghua.org.cn>
1020 B
1020 B
STATS214 / CS229M: Machine Learning Theory
Course Introduction
- University: Stanford
- Prerequisites: Machine Learning, Deep Learning, Statistics
- Course Difficulty: 🌟🌟🌟🌟🌟🌟
- Course Website: STATS214 / CS229M
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.