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Data Science, Analytics and Machine Learning with R

By: (Author) Luiz Paulo Favero , (Author) Brazil) Belfiore Patricia / Federal University of ABC , (Author) Rafael de Freitas Souza

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Ksh 20,700.00

Format: Paperback / Softback

ISBN-10: 012824271X

ISBN-13: 9780128242711

Publisher: Elsevier Science Publishing Co Inc

Imprint: Academic Press Inc

Country of Manufacture: NL

Country of Publication: GB

Publication Date: Jan 25th, 2023

Print length: 660 Pages

Weight: 1,724 grams

Dimensions (height x width x thickness): 21.30 x 27.70 x 3.50 cms

Product Classification: Machine learning

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Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear.

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