doongz/cs229
Stanford Machine Learning Andrew Ng
This project offers a comprehensive, graduate-level course on machine learning from Stanford, taught by Andrew Ng. It provides deep theoretical insights into various algorithms, moving beyond simply using existing tools. The course takes in raw mathematical aptitude and programming skills (Python), and outputs a profound understanding of machine learning principles, enabling users to delve into research or build sophisticated AI systems. It's designed for aspiring machine learning researchers or practitioners who want to understand the 'why' behind the 'what.'
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Use this if you are a student, researcher, or practitioner with strong mathematical skills who wants to deeply understand the core algorithms of machine learning and their theoretical underpinnings.
Not ideal if you are looking for a quick, hands-on introduction to applying machine learning tools without delving into the complex mathematical theory.
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Dec 11, 2022
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Answers for Quizzes & Assignments that I have taken
maxim5/cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University