Over the past few decades the powerful methods of statistical physics and Euclidean quantum field theory have moved closer together, with common tools based on the use of path integrals. The interpretation of Euclidean field theories as particular systems of statistical physics has opened up new avenues for understanding strongly coupled...
Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.
"Essential...a welcome addition to the literature. The choice of topics and their presentation are lucidly informed by considerable experience. The writing style is straightforward and clear. The authors stick resolutely to their goal of producing an introductory text, not a complete treatment, on programming in Mathematica. As such it...
Advances in signal and image processing together with increasing computing power
are bringing mobile technology closer to applications in a variety of domains like
automotive, health, telecommunication, multimedia, entertainment and many others.
The development of these leading applications, involving a large diversity of
algorithms...
“Whether you are an experienced programmer or are starting your career, Python in Practice is full of valuable advice and example to help you improve your craft by thinking about...
Textpattern is a powerful, PHP-based content management system that allows you to build pretty much any kind of data-driven website quickly and easily. It is very popular among designers and developers alike, and has an active community of users. Sound good? Well, you're in luckthe book you're holding now shows you how to use every aspect of...
“People often ask me which is the best book to introduce them to the world of OO design. Ever since I came across it, ‘Applying UML and Patterns’ has been my unreserved choice.” —Martin Fowler, author, “UML Distilled” and “Refactoring”
The first edition of “Applying UML and Patterns:...
Our primary motivation in writing this book is to share our working experience to bridge the gap between the knowledge of industry gurus and newcomers to the spoken language processing community. Many powerful techniques hide in conference proceedings and academic papers for years before becoming widely recognized by the research community or the...
"This book will not only demonstrate how developers can utilize Amazon Web services to create cool mashups but will also help them convert it to money-making mashups - 'cashups.'" —Jinesh Varia, Amazon Web Services Developer Relations Team
Amazon.com is advancing the boundaries of the Internet through their powerful...
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully...
