Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

£44.99

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

Communications engineering / telecommunications Data mining Artificial intelligence Expert systems / knowledge-based systems Machine learning

Authors: Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer

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Collection: Intelligent Technologies and Robotics

Language: English

Published by: Springer

Published on: 3rd October 2023

Format: LCP-protected ePub

ISBN: 9783031133398


Book Overview

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.

Features

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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