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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 ...

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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)
  • Herstelleradresse

    Springer Nature Customer Service Center GmbH

    Europaplatz 3|69115|Heidelberg|DE

    E-Mail: ProductSafety@springernature.com

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