cs229-2019-summer and cs229

cs229-2019-summer
42
Emerging
cs229
20
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 24/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 8/25
Stars: 275
Forks: 102
Downloads:
Commits (30d): 0
Language: HTML
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 cs229-2019-summer

maxim5/cs229-2019-summer

All notes and materials for the CS229: Machine Learning course by Stanford University

This collection provides all the study materials for Stanford's CS229 Machine Learning course. It includes lecture notes, slides, and assignments, giving students and self-learners a complete curriculum to understand core machine learning concepts. Anyone looking to learn machine learning through a structured, university-level course would find this useful.

Machine Learning Education Self-Study Data Science Training AI Fundamentals University Curriculum

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

Scores updated daily from GitHub, PyPI, and npm data. How scores work