For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduct…
This title covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of …
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they ha…
This book is meant to help the reader learn how to program in C. It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a wor…
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This is a deeply technical book and focuses on the software e…
Shelve Cracking the Coding Interview: 150 Programming Questions and Solutions
Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previo…
Shelve Design Patterns: Elements of Reusable Object-Oriented Software
Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There a…
Shelve Structure and Interpretation of Computer Programs (MIT Electrical Engineering and Computer Science)
The performance of software systems is dramatically affected by how well software designers understand the basic hardware technologies at work in a system. Similarly, hardware designers must understan…
Shelve Computer Organization & Design: The Hardware/Software Interface
More than three-quarters of a million programmers have benefited from this book in all of its editions Written by Bjarne Stroustrup, the creator of C++, this is the world's most trusted and widely rea…
For software development professionals and computer science students, Modern Operating Systems gives a solid conceptual overview of operating system design, including detailed case studies of Unix/Lin…
This volume helps take some of the "mystery" out of identifying and dealing with key algorithms. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Cove…
The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming. -Byte, September 1995 I can't begin to tell you…
Shelve The Art of Computer Programming, Volume 1: Fundamental Algorithms
This introduction to compilers is the direct descendant of the well-known book by Aho and Ullman, Principles of Compiler Design. The authors present updated coverage of compilers based on research and…
Shelve Compilers: Principles, Techniques, and Tools
A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, even programmers who know close to nothing about t…
Shelve Hands-On Machine Learning with Scikit-Learn and TensorFlow
This highly anticipated revision builds upon the strengths of the previous edition. Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovati…
Since this Jolt-award winning classic was last updated in 2008 (shortly after Java 6 was released), Java has changed dramatically. The principal enhancement in Java 8 was the addition of functional pr…
If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
In "Automate…
Shelve Automate the Boring Stuff with Python: Practical Programming for Total Beginners
Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific …
Another defining moment in the evolution of operating systems Small footprint operating systems, such as those driving the handheld devices that the baby dinosaurs are using on the cover, are just one…
For courses in computer networking or introductions to networking at both the undergraduate and graduate level in computer science, engineering, CIS, MIS, and business departments. In this revision, t…
In as little as a decade, artificial intelligence could match, then surpass human intelligence. Corporations & government agencies around the world are pouring billions into achieving AI’s Holy Grail—…
Shelve Our Final Invention: Artificial Intelligence and the End of the Human Era
Discrete Mathematics and its Applications is a focused introduction to the primary themes in a discrete mathematics course, as introduced through extensive applications, expansive discussion, and deta…
For Computer Organization and Architecture and Computer Systems courses in CS and EE and ECE departments. Developed out of an introductory course at Carnegie Mellon University, this text explains the …
Shelve Computer Systems: A Programmer's Perspective
Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and opti…
Programmers who endure and succeed amidst swirling uncertainty and nonstop pressure share a common attribute: They care deeply about the practice of creating software. They treat it as a craft. They a…
Shelve The Clean Coder: A Code of Conduct for Professional Programmers
During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marke…
Shelve The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Renowned professor and author Gilbert Strang demonstrates that linear algebra is a fascinating subject by showing both its beauty and value. While the mathematics is there, the effort is not all conce…
As the application of object technology—particularly the Java programming language—has become commonplace, a new problem has emerged to confront the software development community. Significant numbers…
Shelve Refactoring: Improving the Design of Existing Code
Building on the successful top-down approach of previous editions, the Fourth Edition of Computer Networking continues with an early emphasis on application-layer paradigms and application programmin…
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, w…
