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
Rough set data analysis: A road to non-invasive knowledge discoveryby 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.
(16678 views)
Foundations of Computer Scienceby Lawrence C Paulson - University of Cambridge
This text teaches programming and presents some fundamental principles of computer science, especially algorithm design. The programming in this course is based on the language ML and mostly concerns the functional programming style.
(23219 views)
Foundations of Computationby Carol Critchlow, David Eck - Hobart and William Smith Colleges
The book covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers automata, formal languages, and grammar that would ordinarily be encountered in an upper level course.
(15245 views)
GRE Computer Science Test Practice Book- Educational Testing Service
This book contains one actual, full-length GRE Computer Science Test and test-taking strategies. The test consists of about 70 multiple-choice questions, some of which are grouped in sets and based on diagrams, graphs, and program fragments.
(18941 views)