Normal view MARC view ISBD view

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

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
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

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)

Previous				No cover image available				Next
Previous	006.31 SRI Machine learning	006.31 THA Data science and machine learning in R	006.31 VER Industrial machine learning:	006.31 WIC Machine learning:	006.31015192 MUR Probabilistic machine learning: advanced topics	006.312 AGG Data mining: the textbook	006.312 AND Doing data science in R:	Next

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.

There are no comments on this title.

to post a comment.