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Mathematics and Programming for Machine Learning with R - From the Ground Up (Hardcover) Loot Price: R3,114
Discovery Miles 31 140
Mathematics and Programming for Machine Learning with R - From the Ground Up (Hardcover): William Claster

Mathematics and Programming for Machine Learning with R - From the Ground Up (Hardcover)

William Claster

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Loot Price R3,114 Discovery Miles 31 140 | Repayment Terms: R292 pm x 12*

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Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the Ground Up reveals how machine learning algorithms do their magic and explains how these algorithms can be implemented in code. It is designed to provide readers with an understanding of the reasoning behind machine learning algorithms as well as how to program them. Written for novice programmers, the book progresses step-by-step, providing the coding skills needed to implement machine learning algorithms in R. The book begins with simple implementations and fundamental concepts of logic, sets, and probability before moving to the coverage of powerful deep learning algorithms. The first eight chapters deal with probability-based machine learning algorithms, and the last eight chapters deal with machine learning based on artificial neural networks. The first half of the book does not require mathematical sophistication, although familiarity with probability and statistics would be helpful. The second half assumes the reader is familiar with at least one semester of calculus. The text guides novice R programmers through algorithms and their application and along the way; the reader gains programming confidence in tackling advanced R programming challenges. Highlights of the book include: More than 400 exercises A strong emphasis on improving programming skills and guiding beginners to the implementation of full-fledged algorithms Coverage of fundamental computer and mathematical concepts including logic, sets, and probability In-depth explanations of machine learning algorithms

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: October 2020
First published: 2021
Authors: William Claster
Dimensions: 254 x 178 x 31mm (L x W x T)
Format: Hardcover
Pages: 408
ISBN-13: 978-0-367-56194-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Computer programming > Programming languages > General
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 0-367-56194-8
Barcode: 9780367561949

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