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

By:

Wichert, Andreas

Contributor(s):

Sa-couto, Luis

Material type: Text

TextPublication details: World Scientific Publishing Company Pvt. Ltd. New Jersey 2021Description: xvi, 624 pISBN:

9789811234057

Subject(s):

Machine learning

DDC classification:

006.31 WIC

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.

List(s) this item appears in: HR & OB

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.31 WIC (Browse shelf(Opens below))	1	Available		004276

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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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