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Machine Learning

By: Andreas Lindholm (Author) , Sweden) Wahlstroem Niklas (Uppsala Universitet (Author) , Sweden) Lindsten Fredrik (Linkoepings Universitet (Author)

2 in stock

Ksh 13,200.00

Format: Hardback or Cased Book

ISBN-13: 9781108843607

Publisher: Cambridge University Press

Publication Date: Mar 31st, 2022

Weight: 908 grams

Dimension: 18.30 x 26.00 x 2.20 cms

Category: Information theory

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This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as deep learning, Gaussian processes, random forests, support vector machines and boosting.

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