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 Title: Computational and Inferential Thinking: The Foundations of Data Science
 Author(s) Ani Adhikari, John DeNero
 Publisher: Self Publishing (2021); eBook (Creative Commons Licensed)
 License(s): CC BYNCND 4.0
 Hardcover/Paperback: N/A
 eBook: HTML/Jupyter Notebooks and PDF (631 pages)
 Language: English
 ISBN10/ASIN: N/A
 ISBN13: N/A
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Book Description
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning and optimization, and for inference are statistical tests and models.
Step by step, you'll learn how to leverage algorithmic thinking and the power of code, gain intuition about the power and limitations of current machine learning methods, and effectively apply them to real business problems.
About the Authors N/A
 Data Science
 Data Analysis and Data Mining, Big Data
 Statistics, Mathematical Statistics, and SAS Programming
 Computational and Inferential Thinking: The Foundations of Data Science (Ani Adhikari, et al)
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 The Mirror Site (2)  PDF (631 pages)

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