Meaningful Machine Learning: A Guide for Making Models Explainable

Patel, Binit

ISBN 10: 6200102414 / ISBN 13: 9786200102416

Editore: LAP LAMBERT Academic Publishing, 2022

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Dati bibliografici

• Titolo: Meaningful Machine Learning: A Guide for Making Models Explainable
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 6200102414
• ISBN 13: 9786200102416
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

Writing this book was a lot of fun. This book will teach you how to make (supervised) machine learning models interpretable. The chapters contain some mathematical formulas, but you should be able to understand the ideas behind the methods even without the mathematics. This book is not for people who try to learn machine learning from scratch. If you are new to machine learning, there are loads of books and other resources for learning the basics. You can either read the book from beginning to end or jump directly to the methods that interest you. I hope you will enjoy the read!