Machine learning has great potential for improving products, processes, and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. Ideal for students or developers who need an introduction to modeling processes and/or predictive models, this machine learning textbook provides a comprehensive breakdown of the entire modeling process. This book is about making machine learning models and their decisions interpretable. This machine learning textbook is commonly cited throughout the machine learning community for its conceptual framework and diverse range of topics. This textbook can function as both a casual intro to machine learning for a reference book for anyone needing to brush up on neural networks, testing methods, and more. The book actively encourages the reader every step of the way to conduct their own experiments and investigations on their own, making it useful for developing the skills and curiosities needed to make relevant breakthroughs within a machine learning capacity/career.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26403795061
Quantité disponible : 4 disponible(s)
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning has great potential for improving products, processes, and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. Ideal for students or developers who need an introduction to modeling processes and/or predictive models, this machine learning textbook provides a comprehensive breakdown of the entire modeling process. This book is about making machine learning models and their decisions interpretable. This machine learning textbook is commonly cited throughout the machine learning community for its conceptual framework and diverse range of topics. This textbook can function as both a casual intro to machine learning for a reference book for anyone needing to brush up on neural networks, testing methods, and more. The book actively encourages the reader every step of the way to conduct their own experiments and investigations on their own, making it useful for developing the skills and curiosities needed to make relevant breakthroughs within a machine learning capacity/career. 144 pp. Englisch. N° de réf. du vendeur 9786204984551
Quantité disponible : 2 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 409392042
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18403795071
Quantité disponible : 4 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning has great potential for improving products, processes, and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. Ideal for students or developers who need an introduction to modeling processes and/or predictive models, this machine learning textbook provides a comprehensive breakdown of the entire modeling process. This book is about making machine learning models and their decisions interpretable. This machine learning textbook is commonly cited throughout the machine learning community for its conceptual framework and diverse range of topics. This textbook can function as both a casual intro to machine learning for a reference book for anyone needing to brush up on neural networks, testing methods, and more. The book actively encourages the reader every step of the way to conduct their own experiments and investigations on their own, making it useful for developing the skills and curiosities needed to make relevant breakthroughs within a machine learning capacity/career. N° de réf. du vendeur 9786204984551
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Machine learning has great potential for improving products, processes, and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. Ideal for students or developers who need an introduction to. N° de réf. du vendeur 668157144
Quantité disponible : Plus de 20 disponibles
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. INTERPRETABLE MACHINE LEARNING | For Beginners | K. R. Aravind Britto (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204984551 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 122699313
Quantité disponible : 5 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning has great potential for improving products, processes, and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. Ideal for students or developers who need an introduction to modeling processes and/or predictive models, this machine learning textbook provides a comprehensive breakdown of the entire modeling process. This book is about making machine learning models and their decisions interpretable. This machine learning textbook is commonly cited throughout the machine learning community for its conceptual framework and diverse range of topics. This textbook can function as both a casual intro to machine learning for a reference book for anyone needing to brush up on neural networks, testing methods, and more. The book actively encourages the reader every step of the way to conduct their own experiments and investigations on their own, making it useful for developing the skills and curiosities needed to make relevant breakthroughs within a machine learning capacity/career.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. N° de réf. du vendeur 9786204984551
Quantité disponible : 1 disponible(s)