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

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

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

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization has 890 stars on GitHub. Its RepoMasters card: Beta tier.

| Field | Value |
| --- | --- |
| Owner | [Ryota-Kawamura](https://repo.masters-masters.com/en/owners/Ryota-Kawamura) |
| Stars | 890 |
| Forks | 346 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2023 |
| Topics | gradient-descent, bayesian-statistics, calculus, determinants, eigenvalues-and-eigenvectors, linear-algebra, linear-equation, linear-regression, machine-learning, mathematical-optimization |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization](https://github.com/Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization) |

## Repository

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.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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