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Machine Learning : Journey to Deep Learning

By:

Wichert , Andreas [author.]

Contributor(s):

Sa-Couto, Luis [co-author.]

Material type:

TextLanguage: English Publication details: London : World Scientific, 2024.Description: xvi, 624p. : ill. ; 23 cmISBN:

9798886130706

Subject(s):

Other classification:

D65,8(B):(S:72) R4

Summary: 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.

Item type:

Textual

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Textual	Central Science Library	Central Science Library			D65,8(B):(S:72) R4 (Browse shelf(Opens below))					Checked out to Nikhil Chaudhary (SL122401961)		2026-03-05	SL1655948

Includes bibliography and index.

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.

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