Reference Books


Database Systems: The Complete Book

This introduction to database systems offers a readable comprehensive approach with engaging, real-world examples—users will learn how to successf…

(4 )

Foundations of Statistical Natural Language Processing

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive…

(4 )

Elements of the Theory of Computation

Appropriate for senior and graduate level courses in Computer Science Theory, Automata, and Theory of Computation. This is the long awaited Second…

(4 )

An Introduction to the Analysis of Algorithms

This book provides a thorough introduction to the primary techniques used in the mathematical analysis of algorithms. The authors draw from classi…

(4 )

Digital Design

The book presents the basic tools for the design of digital circuits and provides procedures suitable for a variety of digital applications. The e…

(4 )

Introduction To Machine Learning

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications…

(4 )

UNIX Network Programming: Networking APIs: Sockets and XTI; Volume 1

An introductory tutorial or class text and a reference for experienced programmers. Revised from the 1990 edition by using ANSI C for all examples…

(4 )

Python Programming: An Introduction to Computer Science

Author: John Zelle

This book is designed to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emp…

(4 )

Elements of Information Theory 2nd Edition

The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains …

(4 )

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data s…

(4 )