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Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition
Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition

Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency.

Key Features

  • Run .NET Framework and .NET Core apps in Docker containers for efficiency, security and portability
  • Design...
Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library
Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Key Features

  • Focuses on more efficient natural language processing using TensorFlow
  • Covers NLP as a field in its own right to improve understanding for choosing TensorFlow...
Jenkins: The Definitive Guide
Jenkins: The Definitive Guide

This book is aimed at relatively technical readers, though no prior experience with Continuous Integration is assumed. You may be new to Continuous Integration, and would like to learn about the benefits it can bring to your development team. Or, you might be using Jenkins or Hudson already, and want to discover how you can...

Artificial Cognition Systems
Artificial Cognition Systems
The central questions confronting artificial intelligence and cognitive science revolve around the nature of meaning and of mind. Minds are presumed to be the processors of mental content, where that content has the capacity to influence our speech and other behavior. The hard part is figuring out how that is done. Mental states must exercise...
Rapid BeagleBoard Prototyping with MATLAB and Simulink
Rapid BeagleBoard Prototyping with MATLAB and Simulink

Leverage the power of BeagleBoard to develop and deploy practical embedded projects

Overview

  • Develop and validate your own embedded audio/video applications rapidly with Beagleboard
  • Create embedded Linux applications on a pure Windows PC
  • Full of illustrations, diagrams, and...
Introduction to Random Signals and Noise
Introduction to Random Signals and Noise

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal.

With a strong mathematical grounding, this text...

Next Generation Wireless Systems and Networks
Next Generation Wireless Systems and Networks
Next Generation Wireless Systems and Networks offers an expert view of cutting edge Beyond 3rd Generation (B3G) wireless applications. This self-contained reference combines the basics of wireless communications, such as 3G wireless standards, spread spectrum and CDMA systems, with a more advanced level research-oriented...
College Algebra
College Algebra

The Barnett/Ziegler/Byleen/Sobecki College Algebra series is designed to give students a solid grounding in pre-calculus topics in a user-friendly manner. The series emphasizes computational skills, ideas, and problem solving rather than theory. Explore/Discuss boxes integrated throughout each text encourage students to think critically about...

Large-Scale Kernel Machines (Neural Information Processing series)
Large-Scale Kernel Machines (Neural Information Processing series)

Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to...

Building Microservices with Go
Building Microservices with Go

Key Features

  • This short, concise, and practical guide is packed with real-world examples of building microservices with Go
  • It is easy to read and will benefit smaller teams who want to extend the functionality of their existing systems
  • Using this practical approach will save your money in...
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...
Electronics: A Systems Approach (3rd Edition)
Electronics: A Systems Approach (3rd Edition)

Electronics represents one of the most important, and rapidly changing, areas of engineering. It is used at the heart of a vast range of products that extends from mobile phones to computers, and from cars to nuclear power stations. For this reason, all engineers, scientists and technologists need a basic understanding of such systems, while...

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