stanford-cs-230-deep-learning and stanford-cs-229-machine-learning

These are ecosystem siblings, specifically two different sets of VIP cheatsheets by the same author, designed to aid students in two different but related Stanford Computer Science courses, CS 230 (Deep Learning) and CS 229 (Machine Learning).

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: 6,934
Forks: 1,440
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-230-deep-learning

afshinea/stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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.

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