Logo

Computational and Inferential Thinking: The Foundations of Data Science

Computational and Inferential Thinking: The Foundations of Data Science
by

Publisher: GitBook
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.

Home page url

Download or read it online for free here:
Download link
(26MB, PDF)

Similar books

Book cover: A Machine Made this Book: Ten Sketches of Computer ScienceA Machine Made this Book: Ten Sketches of Computer Science
by - 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)
Book cover: Foundations of Computer Science: C EditionFoundations of Computer Science: C Edition
by - 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)
Book cover: A New Kind of ScienceA New Kind of Science
by - 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)
Book cover: Computer Science: Abstraction to ImplementationComputer Science: Abstraction to Implementation
by - 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)