**Computational and Inferential Thinking: The Foundations of Data Science**

by Ani Adhikari, John DeNero

**Publisher**: GitBook 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:

**Download link**

(26MB, PDF)

## Similar books

**A Machine Made this Book: Ten Sketches of Computer Science**

by

**John Whitington**-

**Coherent Press**

Using examples from the publishing industry, Whitington introduces the fascinating discipline of Computer Science to the uninitiated. Chapters: Putting Marks on Paper; Letter Forms; Storing Words; Looking and Finding; Typing it In; Saving Space; etc.

(

**2848**views)

**Foundations of Computer Science: C Edition**

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.

(

**16546**views)

**A New Kind of Science**

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.

(

**7670**views)

**Computer Science: Abstraction to Implementation**

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.

(

**18306**views)