Machine Learning: A Journey to Deep Learning: With Exercises and Answers - Couverture rigide

Wichert, Andreas Miroslaus; Sa-couto, Luis

 
9789811234057: Machine Learning: A Journey to Deep Learning: With Exercises and Answers
Couverture rigide
ISBN 10 : 9811234051 ISBN 13 : 9789811234057
Editeur : World Scientific Publishing Co Pte Ltd, 2021

Synopsis

This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives the statistical perspective, the artificial neural network perspective and the deep learning methodology.

The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Andreas Wichert studied computer science at the University of Saarland, where he graduated in 1993. Afterwards, he became a PhD student at the Department of Neural Information Processing, University of Ulm. Since 2006 he is Assistant Professor at Department of Computer Science and Engineering, University of Lisbon where he is as well lecturing about machine learning and quantum computation. His research focuses on neuronal networks, cognitive systems and quantum computation.

Luis Sa-Couto studied computer science at the Department of Computer Science and Engineering, University of Lisbon, where he graduated in 2018. Since then he is a PhD student under the supervision of Prof Andreas Wichert with the topic Extending Deep Learning Applicability Through Attention-inspired Networks for Object Recognition. He lectured practical classes in AI and machine learning.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
World Scientific Publishing Co Pte Ltd
Date d'édition
2021
Langue
anglais
ISBN 10 
9811234051
ISBN 13 
9789811234057
Reliure
Relié
Nombre de pages
642
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

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