Hulalazz / A-_Guide_-to_Data_Sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

Date Created 2018-12-16 (6 years ago)

Commits 350 (last one about a year ago)

Stargazers 60 (0 this week)

Watchers 1 (0 this week)

Forks 22

License unknown

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RepositoryStats indexes 634,548 repositories, of these Hulalazz/A-_Guide_-to_Data_Sciecne_from_mathematics is ranked #435,654 (31st percentile) for total stargazers, and #558,875 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #11,147/16,566.

Hulalazz/A-_Guide_-to_Data_Sciecne_from_mathematics is also tagged with popular topics, for these it's ranked: deep-learning (#6,701/8826), machine-learning (#6,396/8427), data-science (#1,746/2224), model-compression (#84/108)

All Topics

gcn admm hodgerank data-science deep-learning learning2rank machine-learning model-compression recommender-systems statistical-learning anderson-acceleration fixed-point-iteration numerical-optimization inverse-bayesian-fomula computational-intelligence

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10 commits on the default branch (master) since jan '22

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The primary language is HTML but there's also others...

updated: 2025-01-29 @ 03:09am, id: 161996200 / R_kgDOCafdqA