Mathematical Structures for Computer Graphics 
by Steven J. Janke
Mathematical Structures for Computer Graphics presents an accessible and intuitive approach to the mathematical ideas and techniques necessary for two- and three-dimensional computer graphics. Focusing on the significant mathematical results, the book establishes key algorithms used to build complex graphics scenes.Written for readers with various levels of mathematical background, the book develops a solid...
Price: $72.75 | Publisher: Wiley | Release: 2014
Professional CUDA C Programming
by John Cheng, Max Grossman, Ty McKercher
Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA - a parallel computing platform and programming model designed to ease the development of GPU programming - fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable ex...
Price: $30.09 | Publisher: Wrox | Release: 2014
by Jason Bell
Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into...
Price: $29.16 | Publisher: Wiley | Release: 2014
by Matthew Kirk
Learn how to apply test-driven development (TDD) to machine-learning algorithms - and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks.Machine-learning algorithms often have test...
Price: $21.79 | Publisher: O'Reilly Media | Release: 2014
MATLAB Optimization Techniques
by Cesar Perez Lopez
MATLAB Optimization Techniques introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. It begins by introducing the MATLAB environment and the structure of MATLAB programming before moving on to the mathematics of optimization. The central part of the book is dedicated to MATLAB's Optimization Toolbox, which implements state-of...
Price: $49.99 | Publisher: Apress | Release: 2014
by Cesar Perez Lopez
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 traditional programming languages, such as C/C++ or Java.MATLAB Ma...
Price: $40.68 | Publisher: Apress | Release: 2014
MATLAB Symbolic Algebra and Calculus Tools
by Cesar Perez Lopez
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 traditional programming languages, such as C/C++ or Java.MATLAB Sy...
Price: $49.99 | Publisher: Apress | Release: 2014
by Akhil Wali
Clojure for Machine Learning is an introduction to machine learning techniques and algorithms. This book demonstrates how you can apply these techniques to real-world problems using the Clojure programming language.It explores many machine learning techniques and also describes how to use Clojure to build machine learning systems. This book starts off by introducing the simple machine learning problems of r...
Price: $29.99 | Publisher: Packt Publishing | Release: 2014
Parallel Programming with Python
by Jan Palach
Starting with the basics of parallel programming, you will proceed to learn about how to build parallel algorithms and their implementation. You will then gain the expertise to evaluate problem domains, identify if a particular problem can be parallelized, and how to use the Threading and Multiprocessor modules in Python.The Python Parallel (PP) module, which is another mechanism for parallel programming, i...
Price: $13.99 | Publisher: Packt Publishing | Release: 2014
Building Probabilistic Graphical Models with Python
by Kiran R Karkera
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You'v...
Price: $16.99 | Publisher: Packt Publishing | Release: 2014