Logo

Computational and Inferential Thinking: The Foundations of Data Science

Computational and Inferential Thinking: The Foundations of Data Science
by


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:
Read online
(online html)

Similar books

Book cover: Building Blocks for Theoretical Computer ScienceBuilding Blocks for Theoretical Computer Science
by - University of Illinois, Urbana-Champaign
This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.
(12267 views)
Book cover: The Fourth Paradigm: Data-Intensive Scientific DiscoveryThe Fourth Paradigm: Data-Intensive Scientific Discovery
by - Microsoft Research
The Fourth Paradigm, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.
(17903 views)
Book cover: A Computer Science Tapestry: Exploring Computer Science with C++A Computer Science Tapestry: Exploring Computer Science with C++
by - McGraw - Hill
This book is designed for a first course in computer science that uses C++ as the programming language. The goal was to leverage the best features of the language using sound practices of programming and pedagogy in the study of computer science.
(20488 views)
Book cover: Rough set data analysis: A road to non-invasive knowledge discoveryRough set data analysis: A road to non-invasive knowledge discovery
by - 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.
(16776 views)