Academic Books

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

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

Aho and Ullman have created a C version of their groundbreaking text. As in that text, this book combines the theoretical foundations of computing…

Third generation book that builds on two highly successful earlier editions and the author's twenty years of academic and industrial experience in…

Broad and up-to-date coverage of the principles and practice in the fast moving area of Distributed Systems. Distributed Systems provides s…

This best-selling book, now in its fourth edition, provides a wide-ranging and in-depth discussion of programming language concepts. As in previou…

The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This …

For many applications, a randomized algorithm is either the simplest or the fastest algorithm available, and sometimes both. This book introduces …

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce Whit…

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in ind…