stanford-cs-221-artificial-intelligence and stanford-cs-229-machine-learning

These two projects are ecosystem siblings, as they are both "VIP cheatsheets" created by the same author for different but related Stanford computer science courses, likely catering to the same audience of students or self-learners.

stanford-cs-221-artificial-intelligence
51
Established
stanford-cs-229-machine-learning
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 2,913
Forks: 557
Downloads: —
Commits (30d): 0
Language: —
License: MIT
Stars: 19,296
Forks: 4,163
Downloads: —
Commits (30d): 0
Language: —
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About stanford-cs-221-artificial-intelligence

afshinea/stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

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.

Related comparisons

stanford-cs-221-artificial-intelligence and stanford-cs-230-deep-learning stanford-cs-221-artificial-intelligence and stanford-cs-230-deep-learning stanford-cs-221-artificial-intelligence and cs229-2018-autumn stanford-cs-221-artificial-intelligence and cs229-2019-summer stanford-cs-221-artificial-intelligence and Stanford-CS229 stanford-cs-221-artificial-intelligence and Stanford-CS229-Spring2023-Notes

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