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 (5 years ago)

Commits 350 (last one 10 months ago)

Stargazers 58 (0 this week)

Watchers 1 (0 this week)

Forks 20

License unknown

Ranking

RepositoryStats indexes 584,777 repositories, of these Hulalazz/A-_Guide_-to_Data_Sciecne_from_mathematics is ranked #419,410 (28th percentile) for total stargazers, and #536,275 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #10,807/15,198.

Hulalazz/A-_Guide_-to_Data_Sciecne_from_mathematics is also tagged with popular topics, for these it's ranked: deep-learning (#6,527/8398), machine-learning (#6,206/7935), data-science (#1,707/2104), model-compression (#84/106)

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: 2024-11-19 @ 07:28am, id: 161996200 / R_kgDOCafdqA