Introduction to Data Science (Chapman & Hall)
Friday, 29 November 2019

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.

<ASIN:0367357984>

 

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

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

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