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Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)
Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)
The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of...
Beginning C++
Beginning C++

Beginning C++ is a tutorial for beginners in C++ and discusses a subset of C++ that is suitable for beginners. The language syntax corresponds to the C++14 standard. This book is environment neutral and does not presume any specific operating system or program development system. There is no assumption of prior programming...

Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi
Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

Key Features

  • Build TensorFlow-powered AI applications for mobile and embedded devices
  • Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning
  • ...
Learning Dart
Learning Dart

Dart is the programming language developed by Google that offers a new level of simple versatility. Learn all the essentials of Dart web development in this brilliant tutorial that takes you from beginner to pro.

Overview

  • Develop apps for the Web using Dart and HTML5
  • Build powerful HTML5...
MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems
Welcome to MapReduce Design Patterns! This book will be unique in some ways and familiar in others. First and foremost, this book is obviously about design patterns, which are templates or general guides to solving problems. We took a look at other design patterns books that have been written in the past as...
Subband Adaptive Filtering: Theory and Implementation
Subband Adaptive Filtering: Theory and Implementation

Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For...

Hadoop Beginner's Guide
Hadoop Beginner's Guide

Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services - just a willingness to learn the basics from this practical step-by-step tutorial.

Overview

  • Learn tools and techniques that let you approach big data with relish and not...
Fast Data Processing with Spark (Community Experience Distilled)
Fast Data Processing with Spark (Community Experience Distilled)

High-speed distributed computing made easy with Spark

Overview

  • Implement Spark's interactive shell to prototype distributed applications
  • Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
  • Use Shark's SQL query-like syntax with...
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data

Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.

Key Features

  • Get up and running with the Jupyter ecosystem and some example datasets
  • Learn about key machine...
Biomedical Image Analysis: Segmentation (Synthesis Lectures on Image, Video, & Multimedia Processing)
Biomedical Image Analysis: Segmentation (Synthesis Lectures on Image, Video, & Multimedia Processing)
The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful regions is perhaps the main roadblock in the automation of...
Image Processing: Tensor Transform and Discrete Tomography with MATLAB ®
Image Processing: Tensor Transform and Discrete Tomography with MATLAB ®

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along...

Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust
Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust

Get to grips with modern software demands by learning the effective uses of Rust's powerful memory safety.

Key Features

  • Learn and improve the sequential performance characteristics of your software
  • Understand the use of operating system processes in a high-scale...
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