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

By: Wichert, AndreasContributor(s): Sa-couto, LuisMaterial type: TextTextPublication details: New Jersey World Scientific Publishing Company Pvt. Ltd. 2021 Description: xvi, 624 pISBN: 9789811234057Subject(s): Machine learningDDC classification: 006.31 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.
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC
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IT & Decisions Sciences 006.31 WIC (Browse shelf(Opens below)) 1 Available 004276

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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