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 10 months ago)
Stargazers 186 (8 this week)
Watchers 4 (0 this week)
Forks 99
License unknown
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RepositoryStats indexes 523,840 repositories, of these Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization is ranked #174,888 (67th percentile) for total stargazers, and #351,116 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,888/14,471.

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization is also tagged with popular topics, for these it's ranked: machine-learning (#3,218/7264),  mathematics (#145/332),  linear-algebra (#94/224)

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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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updated: 2024-05-31 @ 06:22pm, id: 635405376 / R_kgDOJd-EQA