Computational and Inferential Thinking: The Foundations of Data Science
by Ani Adhikari, John DeNero
2017
Number of pages: 646
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.
Download or read it online for free here:
Read online
(online html)
Similar books

by Robert M. Keller - Harvey Mudd College
This book is intended for a second course in computer science, one emphasizing principles wherever it seems possible. It is not limited to programming, it attempts to use various programming models to explicate principles of computational systems.
(25052 views)

by Stephen Wolfram - Wolfram Media
Starting from a collection of simple computer experiments -- illustrated in the book by striking computer graphics -- Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
(14794 views)

by Al Aho, Jeff Ullman - W. H. Freeman
Aho and Ullman have created a C version of their groundbreaking text. This book combines the theoretical foundations of computing with essential discrete mathematics. It follows the same organizations, with all examples and exercises in C.
(26984 views)

by Ivo Düntsch, Günther Gediga - Methodos Publishers (UK)
In this book the authors present an overview of the work they have done on the foundations and details of data analysis, the first attempt to do this in a non-invasive way. It is a look at data analysis from many different angles.
(17538 views)