The important thing to note about this book is its subtitle "Data Analysis and Prediction Algorithms with R". It introduces concepts and skills that can help you tackle real-world data analysis challenges. Author Rafael A. Irizarry covers concepts from probability, statistical inference, linear regression, and machine learning. preparation and also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document.

Author: Rafael A. Irizarry
Publisher: Chapman and Hall
Date: November 2019
Pages: 734
ISBN: 978-0367357986
Print: 0367357984
Audience: Data science students and developers
Level: Intermediate
Category: Data Science

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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