# ml-for-high-risk-apps-book/Machine-Learning-for-High-Risk-Applications-Book

<https://repo.masters-masters.com/repos/ml-for-high-risk-apps-book/Machine-Learning-for-High-Risk-Applications-Book>

[Accueil](https://repo.masters-masters.com/) › [ml-for-high-risk-apps-book](https://repo.masters-masters.com/owners/ml-for-high-risk-apps-book) › [Machine-Learning-for-High-Risk-Applications-Book](https://repo.masters-masters.com/repos/ml-for-high-risk-apps-book/Machine-Learning-for-High-Risk-Applications-Book)

ml-for-high-risk-apps-book/Machine-Learning-for-High-Risk-Applications-Book, dépôt open source à 117 étoiles sur GitHub. Carte Prototype de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [ml-for-high-risk-apps-book](https://repo.masters-masters.com/owners/ml-for-high-risk-apps-book) |
| Étoiles | 117 |
| Forks | 25 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2022 |
| Sujets | deep-learning, explainable-ai, interpretable-machine-learning, machine-learning, oreilly, oreilly-books, responsible-ai, security, trustworthy-ai |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [ml-for-high-risk-apps-book/Machine-Learning-for-High-Risk-Applications-Book](https://github.com/ml-for-high-risk-apps-book/Machine-Learning-for-High-Risk-Applications-Book) |

## Fiche du dépôt

Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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