Ensemble Methods for Machine Learning
Gautam Kunapuli
Ensemble machine learning combines the power of multiple machine learning approaches, working together to deliver models that are highly performant and highly accurate.
Inside Ensemble Methods for Machine Learning you will find:
• Methods for classification, regression, and recommendations
• Sophisticated off-the-shelf ensemble implementations
• Random forests, boosting, and gradient boosting
• Feature engineering and ensemble diversity
• Interpretability and explainability for ensemble methods
Inside Ensemble Methods for Machine Learning you will find:
• Methods for classification, regression, and recommendations
• Sophisticated off-the-shelf ensemble implementations
• Random forests, boosting, and gradient boosting
• Feature engineering and ensemble diversity
• Interpretability and explainability for ensemble methods
年:
2023
版:
1
出版社:
Manning Publications
言語:
english
ページ:
354
ISBN 10:
1617297135
ISBN 13:
9781617297137
ファイル:
PDF, 25.07 MB
IPFS:
,
english, 2023
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