Mathematical Foundations of Computer Science
by Susan Rodger
Publisher: Duke University 1998
These lecture notes present an introduction to theoretical computer science including studies of abstract machines, the language hierarchy from regular languages to recursively enumerable languages, noncomputability and complexity theory.
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by 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.
by Eva Volna - Bookboon
This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making.
by Christos Kalloniatis - InTech
This book may assist researchers on studying the innovative functions of modern information systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies.
by Ani Adhikari, John DeNero - GitBook
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 ...