# Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization

<https://repo.masters-masters.com/repos/Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization>

[Accueil](https://repo.masters-masters.com/) › [Ryota-Kawamura](https://repo.masters-masters.com/owners/Ryota-Kawamura) › [Mathematics-for-Machine-Learning-and-Data-Science-Specialization](https://repo.masters-masters.com/repos/Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization)

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization, dépôt open source à 890 étoiles sur GitHub. Carte Bêta de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [Ryota-Kawamura](https://repo.masters-masters.com/owners/Ryota-Kawamura) |
| Étoiles | 890 |
| Forks | 346 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2023 |
| Sujets | gradient-descent, bayesian-statistics, calculus, determinants, eigenvalues-and-eigenvectors, linear-algebra, linear-equation, linear-regression, machine-learning, mathematical-optimization |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization](https://github.com/Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization) |

## Fiche du dépôt

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.

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.