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Crowds in Equations: An Introduction to the Microscopic Modeling of Crowds (Advanced Textbooks in Mathematics)
Crowds in Equations: An Introduction to the Microscopic Modeling of Crowds (Advanced Textbooks in Mathematics)

The book contains self-contained descriptions of existing models, accompanied by critical analyses of their properties both from a theoretical and practical standpoint. It aims to develop 'modeling skills' within the readers, giving them the ability to develop their own models and improve existing ones. Written in connection...

Painting the Web
Painting the Web
Do you think that only professionals with expensive tools and years of experience can work with web graphics? This guide tosses that notion into the trash bin.

Painting the Web is the first comprehensive book on web graphics to come along in years, and author Shelley Powers demonstrates how readers of any level can take
...
Algorithms for Discrete Fourier Transform and Convolution (Signal Processing and Digital Filtering)
Algorithms for Discrete Fourier Transform and Convolution (Signal Processing and Digital Filtering)

The main goal of this graduate-level text is to provide a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing -- in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines. It thus bridges...

Cancer Gene Therapy (Contemporary Cancer Research)
Cancer Gene Therapy (Contemporary Cancer Research)

A complete introduction and guide to the latest developments in cancer gene therapy-from bench to bedside. The authors comprehensively review the anticancer genes and gene delivery methods currently available for cancer gene therapy, including the transfer of genetic material into the cancer cells, stimulation of the immune system to...

Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Canvas Pocket Reference: Scripted Graphics for HTML5
Canvas Pocket Reference: Scripted Graphics for HTML5

The Canvas element is a revolutionary feature of HTML5 that enables powerful graphics for rich Internet applications, and this pocket reference provides the essentials you need to put this element to work. If you have working knowledge of JavaScript, this book will help you create detailed, interactive, and animated graphics -- from...

Intel Xeon Phi Coprocessor High Performance Programming
Intel Xeon Phi Coprocessor High Performance Programming

Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers, Application Engineers and Technical...

MATLAB Linear Algebra
MATLAB Linear Algebra

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most...

Mastering Parallel Programming with R
Mastering Parallel Programming with R

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest...
Mathematics for 3D Game Programming and Computer Graphics, Third Edition
Mathematics for 3D Game Programming and Computer Graphics, Third Edition

This updated third edition illustrates the mathematical concepts that a game developer needs to develop 3D computer graphics and game engines at the professional level. It starts at a fairly basic level in areas such as vector geometry and linear algebra, and then progresses to more advanced topics in 3D programming such as illumination and...

Machine Learning in Action
Machine Learning in Action

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...

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