stanford-cs-229-machine-learning and cs229-2018-autumn

These two resources are competitors, as both aim to provide comprehensive notes and materials for Stanford's CS 229 Machine Learning course, forcing a user to choose one primary reference over the other due to their overlapping content and purpose.

stanford-cs-229-machine-learning

Established

cs229-2018-autumn

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 10/25

Maturity 8/25

Community 25/25

Stars: 19,296

Forks: 4,163

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Commits (30d): 0

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License: MIT

Stars: 3,128

Forks: 1,127

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Commits (30d): 0

Language: Jupyter Notebook

License: —

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About stanford-cs-229-machine-learning

afshinea/stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

Covers supervised, unsupervised, and deep learning algorithms alongside foundational refreshers in probability, statistics, algebra, and calculus. Content is organized modularly—individual cheatsheets for each ML subfield plus a unified "super cheatsheet"—and available in 10+ languages across PDF and web formats. Designed as a comprehensive reference guide integrating course prerequisites with practical training tips for practitioners.

About cs229-2018-autumn

maxim5/cs229-2018-autumn

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

Related comparisons

stanford-cs-229-machine-learning and stanford-cs-230-deep-learning stanford-cs-229-machine-learning and stanford-cs-221-artificial-intelligence stanford-cs-229-machine-learning and cs229-2019-summer stanford-cs-229-machine-learning and Stanford-CS229 stanford-cs-229-machine-learning and Stanford-CS229-Spring2023-Notes stanford-cs-229-machine-learning and cs229-2019-summer

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