Elements of Data Science, Machine Learning, and Artificial Intelligence Using R (Hardcover, 1st ed. 2023)

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The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.

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Product Description

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Release date

September 2023

Availability

Expected to ship within 12 - 17 working days

First published

2023

Authors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

300

Edition

1st ed. 2023

ISBN-13

978-3-03-113338-1

Barcode

9783031133381

Categories

LSN

3-03-113338-2



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