Machine learning: a journey to deep learning : with exercises and answers

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 found...

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Hauptverfasser: Wichert, Andreas (VerfasserIn), Sa-Couto, Luis (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: New Jersey ; London ; Singapore World Scientific [2021]
Schlagworte:
Online-Zugang:FHI01
TUM01
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Zusammenfassung: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.
Beschreibung:1 Online-Ressource (xvi, 624 Seiten)
ISBN:9789811234064
9789811234071
DOI:10.1142/12201

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