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Lingua: Inglese
Editore: Elsevier Science & Technology, London, 2023
ISBN 10: 0323898599 ISBN 13: 9780323898591
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book.The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Editore: Morgan Kaufmann 2023-04-19, 2023
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Editore: Elsevier Science & Technology, 2023
ISBN 10: 0323898599 ISBN 13: 9780323898591
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ISBN 10: 0323898599 ISBN 13: 9780323898591
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Presents, in a unified manner, fundamental machine learning concepts, such as neural networks and kernel machines Provides in-depth coverage of unsupervised and semi-supervised learning, with new content in hot growth areas such as deep le.
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Lingua: Inglese
Editore: Elsevier Science & Technology Apr 2023, 2023
ISBN 10: 0323898599 ISBN 13: 9780323898591
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 110,42
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book.The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.
Lingua: Inglese
Editore: Elsevier Science & Technology, 2023
ISBN 10: 0323898599 ISBN 13: 9780323898591
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning | A Constraint-Based Approach | Alessandro Betti (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2023 | Elsevier Science & Technology | EAN 9780323898591 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Elsevier Science and Technology, GB, 2023
ISBN 10: 0323898599 ISBN 13: 9780323898591
Da: Rarewaves.com UK, London, Regno Unito
EUR 128,83
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Aggiungi al carrelloPaperback. Condizione: New.
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Editore: Elsevier Science & Technology, London, 2023
ISBN 10: 0323898599 ISBN 13: 9780323898591
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Machine Learning: A Constraint-Based Approach Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.