
- Kamath, Uday
- Liu, John
Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning
- Gebunden,
- Springer, Berlin
- (2021)
This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated material can serve as inspiration for a variety of projects and hands-on assignments in a classroom setting. I will certainly keep this book as a personal resource for the courses I teach, and strongl ...
DETAILS
- Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning
- Kamath, Uday, Liu, John
- Gebunden, xxiii, 310 S.
- XXIII, 310 p. 194 illus., 161 illus. in color.
- Sprache: Englisch
- 235 mm
- ISBN-13: 978-3-030-83355-8
- Titelnr.: 92208248
- Gewicht: 670 g
- Springer, Berlin (2021)
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