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

2023 ed.

Book Details

Format Hardback or Cased Book
ISBN-10 3031133382
ISBN-13 9783031133381
Edition 2023 ed.
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 4th, 2023
Print length 575 Pages
Weight 1,254 grams
Dimensions 16.00 x 24.30 x 3.80 cms
Ksh 10,050.00
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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 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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