Stanford-CS229 and cs229

Stanford-CS229
34
Emerging
cs229
20
Experimental
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 18/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 8/25
Stars: 42
Forks: 12
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 8
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Stanford-CS229

lakshyaag/Stanford-CS229

My notes for Stanford's CS229 course

This project provides comprehensive study notes and solutions for Stanford's CS229 Machine Learning course. If you are learning machine learning concepts, you can use these notes to deepen your understanding of algorithms, theories, and practical applications. It's designed for students, self-learners, or professionals looking to master machine learning principles.

machine-learning-education data-science-learning ai-curriculum algorithms-study academic-notes

About cs229

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.'

machine-learning-theory data-science-education artificial-intelligence-research statistical-modeling algorithmic-design

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