Interpreting Machine Learning Models with SHAP : A Guide with Python Examples and Theory on Shapley Values /
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre |
| Langue: | anglais |
| Publié: |
Brétigny-sur-Orge :
Amazon,
2023
|
| Édition: | 1. vydanie |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires: Interpreting Machine Learning Models with SHAP :
- Interpretable Machine Learning : A Guide for Making Black Box Models Explainable
- Model Transparency: Integrating XGBoost with SHAP for Explainable Machine Learning
- Interpretability of machine learning models created by clustering algorithms
- Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow.
- Introduction to machine learning with Python : a guide for data scientists /
- Python Machine Learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics /