Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Da: preigu, Osnabrück, Germania
EUR 67,10
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Meaningful Machine Learning | A Guide for Making Models Explainable | Binit Patel | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786200102416 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 79,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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! 188 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Da: Majestic Books, Hounslow, Regno Unito
EUR 102,04
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Da: moluna, Greven, Germania
EUR 61,15
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel BinitDr. Binit PatelB.E. (Computer Science & Engineering), M.B.A. (Marketing)E.P. (Business Analytics), Ph.D.Writing this book was a lot of fun. This book will teach you how to make (supervised) machine learning models inte.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 102,14
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 79,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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!VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200102414 ISBN 13: 9786200102416
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 80,86
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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!