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 11 months ago)

Stargazers 59 (0 this week)

Watchers 1 (0 this week)

Forks 20

License unknown

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RepositoryStats indexes 595,856 repositories, of these Hulalazz/A-_Guide_-to_Data_Sciecne_from_mathematics is ranked #420,322 (29th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #10,800/15,505.

Hulalazz/A-_Guide_-to_Data_Sciecne_from_mathematics is also tagged with popular topics, for these it's ranked: deep-learning (#6,548/8512), machine-learning (#6,225/8063), data-science (#1,708/2138), model-compression (#83/108)

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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updated: 2024-12-15 @ 08:51am, id: 161996200 / R_kgDOCafdqA