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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R, (Hardcover)
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- Elements of Data Science, Machine Learning, and Artificial Intelligence Using R, (Hardcover)
- Author: Springer
- ISBN: 9783031133381
- Format: Hardcover
- Publication Date: 2023-10-04
- Page Count: 575
Specs
- Book formatHardcover
- Fiction/nonfictionNon-Fiction
- GenreComputing & Internet
- Pub date20231004
- Pages575
- SubgenreTelecommunications
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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.
- Elements of Data Science, Machine Learning, and Artificial Intelligence Using R, (Hardcover)
- Author: Springer
- ISBN: 9783031133381
- Format: Hardcover
- Publication Date: 2023-10-04
- Page Count: 575
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Specifications
Book format
Hardcover
Fiction/nonfiction
Non-Fiction
Genre
Computing & Internet
Pub date
20231004
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