Name: Machine Learning: A Constraint-Based Approach (en Inglés)
SKU: 54897644
Price: 142.19 USD
Availability: InStock
Author: Marco Gori; Alessandro Betti; Stefano Melacci
ISBN: 9780323898591

portada Machine Learning: A Constraint-Based Approach (en Inglés)

Machine Learning: A Constraint-Based Approach (en Inglés)

Formato

Libro Físico

Editorial

Morgan Kaufmann

Autor

Marco Gori; Alessandro Betti; Stefano Melacci

Idioma

Inglés

N° páginas

680

Encuadernación

Tapa Blanda

ISBN13

9780323898591

N° edición

Machine Learning: A Constraint-Based Approach (en Inglés)

Marco Gori; Alessandro Betti; Stefano Melacci (Autor) · Morgan Kaufmann · Tapa Blanda

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Reseña del libro "Machine Learning: A Constraint-Based Approach (en Inglés)"

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.