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 403 (2 this week)
Watchers 4 (0 this week)
Forks 183
License unknown
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RepositoryStats indexes 595,856 repositories, of these Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization is ranked #107,546 (82nd percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,335/17,543.

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization is also tagged with popular topics, for these it's ranked: machine-learning (#2,310/8063),  mathematics (#94/372),  linear-algebra (#61/243)

Other Information

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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: 2024-12-19 @ 04:39am, id: 635405376 / R_kgDOJd-EQA