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OpenCL Programming by Example
OpenCL Programming by Example

For a comprehensive, easy-to-swallow guide to OpenCL Programming, this book is out on its own. That's because it teaches through examples and covers everything from parallel sorting to optimization in simple stages.

Overview

  • Learn about all of the OpenCL Architecture and major APIs.
  • ...
Pro Docker
Pro Docker
In this fast-paced book on the Docker open standards platform for developing, packaging and running portable distributed applications, Deepak Vorha
discusses how  to build, ship and run applications on any platform such as a PC, the cloud, data center or a virtual machine. He describes how to install and...
Django 2 by Example: Build powerful and reliable Python web applications from scratch
Django 2 by Example: Build powerful and reliable Python web applications from scratch

Learn Django with four end-to-end projects

Key Features

  • Learn Django by building real-world web applications from scratch
  • Develop powerful web applications quickly using the best coding practices
  • Integrate other technologies into your application with clear,...
Introduction to the Mathematics of Medical Imaging, Second Edition
Introduction to the Mathematics of Medical Imaging, Second Edition
At the heart of every medical imaging technology is a sophisticated mathematical model of the measurement process and an algorithm to reconstruct an image from the measured data. This book provides a firm foundation in the mathematical tools used to model the measurements and derive the reconstruction algorithms used in most imaging modalities in...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
The Structure and Properties of Color Spaces and the Representation of Color Images
The Structure and Properties of Color Spaces and the Representation of Color Images
This lecture describes the author's approach to the representation of color spaces and their use for color image processing. The lecture starts with a precise formulation of the space of physical stimuli (light). The model includes both continuous spectra and monochromatic spectra in the form of Dirac deltas. The spectral densities are considered...
Arduino Applied: Comprehensive Projects for Everyday Electronics
Arduino Applied: Comprehensive Projects for Everyday Electronics
Extend the range of your Arduino skills, incorporate the new developments in both hardware and software, and understand how the electronic applications function in everyday life. This project-based book extends the Arduino Uno starter kits and increases knowledge of microcontrollers in...
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
IPython Interactive Computing and Visualization Cookbook
IPython Interactive Computing and Visualization Cookbook

Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python

About This Book

  • Leverage the new features of the IPython notebook for interactive web-based big data analysis and visualization
  • Become an expert in high-performance...
Mechanics of Biological Systems & Micro-and Nanomechanics, Volume 4: Proceedings of the 2018 Annual Conference on Experimental and Applied Mechanics ... Society for Experimental Mechanics Series)
Mechanics of Biological Systems & Micro-and Nanomechanics, Volume 4: Proceedings of the 2018 Annual Conference on Experimental and Applied Mechanics ... Society for Experimental Mechanics Series)
MechanicsofBiologicalSystems&Micro-andNanomechanics representsoneofeightvolumesoftechnicalpaperspresented at the 2018 SEM Annual Conference and Exposition on Experimental and Applied Mechanics organized by the Society for Experimental Mechanics and held in Greenville, SC, from June 4 to 7, 2018. The complete proceedings...
Nonlinear Signal Processing : A Statistical Approach
Nonlinear Signal Processing : A Statistical Approach
A Unified Treatment of Non-Gaussian Processes and Nonlinear Signal Processing

Nonlinear signal processing methods are finding numerous applications in such fields as imaging, teletraffic, communications, hydrology, geology, and economics–fields where nonlinear systems and non-Gaussian processes emerge. Within a broad class of nonlinear...

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intended for upper-division students and postgraduates who need a...
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