Ryota-Kawamura / Mathematics-for-Machine-Learning-and-Data-Science-Specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

Ryota-Kawamura
Ryota-Kawamura
Date Created 2023-05-02 (about a year ago)
Commits 88 (last one about a year ago)
Stargazers 374 (9 this week)
Watchers 4 (0 this week)
Forks 178
License unknown
Ranking

RepositoryStats indexes 584,353 repositories, of these Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization is ranked #112,376 (81st percentile) for total stargazers, and #373,290 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,424/17,098.

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization is also tagged with popular topics, for these it's ranked: machine-learning (#2,384/7926),  mathematics (#97/368),  linear-algebra (#61/242)

Other Information

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization has Github issues enabled, there is 1 open issue and 0 closed issues.

Homepage URL: https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/

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88 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-20 @ 05:52pm, id: 635405376 / R_kgDOJd-EQA