Explainable machine learning: A guide to the interpretability of black box models (produced by the blog post)(Chinese Edition)
Language: Chinese
Published by Electronic Industry Press, 2021
- Softcover
- New
Condition: New
US$ 132.75
Quantity: 3 available
Add to basketItem description from seller
Paperback. Pub Date: 2021-03-01 Pages: 244 Language: Chinese Publisher: Electronic Industry Press. Although machine learning has great potential for improving product performance and advancing research. it cannot explain their predictions. This is A major obstacle currently facing.?Explainable Machine Learning: A Guide to Understanding the Interpretability of Black Box Models is a book about making machine learning models and their decisions interpretable.?This book explores the concept of in.
Seller Inventory # NV032887
- Title
- Explainable machine learning: A guide to the interpretability of black box models (produced by the blog post)(Chinese Edition)
- Author
- [ DE ] KE LI SI TUO FU MO ER NA ( Christoph Molnar ) . ZHU MING CHAO YI
- Publisher
- Electronic Industry Press
- Publication year
- 2021
- Condition
- New
- Binding
- paperback
- Language
- Chinese
- ISBN 10
- 7121406063
- ISBN 13
- 9787121406065
"Synopsis" may belong to another edition of this title.
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| Item | 16 to 30 business days | 8 to 16 business days |
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