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Microservices with Docker on Microsoft Azure (includes Content Update Program) (Addison-Wesley Microsoft Technology)
Microservices with Docker on Microsoft Azure (includes Content Update Program) (Addison-Wesley Microsoft Technology)

Book + Content Update Program

“Beyond just describing the basics, this book dives into best practices every aspiring microservices developer or architect should know.”
—Foreword by Corey Sanders, Partner Director of Program Management, Azure

Microservice-based
...

Quantum Computing and Communications: An Engineering Approach
Quantum Computing and Communications: An Engineering Approach
Quantum computers will revolutionize the way telecommunications networks function.

Quantum computing holds the promise of solving problems that would be intractable with conventional computers, by implementing principles from quantum physics in the development of computer hardware, software and communications equipment....

Machine Learning in Computer Vision (Computational Imaging and Vision)
Machine Learning in Computer Vision (Computational Imaging and Vision)
The goal of computer vision research is to provide computers with humanlike
perception capabilities so that they can sense the environment, understand
the sensed data, take appropriate actions, and learn from this experience in
order to enhance future performance. The field has evolved from the application
of classical pattern
...
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Building Probabilistic Graphical Models with Python
Building Probabilistic Graphical Models with Python

Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications

About This Book

  • Stretch the limits of machine learning by learning how graphical models provide an insight on particular problems, especially in high dimension areas such as image...
Python Machine Learning Cookbook
Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

  • Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
  • Learn about perceptrons and see how they are used to build neural...
Blockchain for Enterprise: Build scalable blockchain applications with privacy, interoperability, and permissioned features
Blockchain for Enterprise: Build scalable blockchain applications with privacy, interoperability, and permissioned features

Implement blockchain principles in your choice of domain using Ethereum

Key Features

  • Build permissioned enterprise-grade blockchain applications from scratch
  • Implement Blockchain-as-a-Service to enterprises in terms of deployment and security
  • Achieve...
CentOS 6 Linux Server Cookbook
CentOS 6 Linux Server Cookbook

An all-in-one guide to installing, configuring, and running a Centos 6 server. Ideal for newbies and old-hands alike, this practical tutorial ensures you get the best from this popular, enterprise-class free server solution.

  • Delivering comprehensive insight into CentOS server with a series of starting points that show you...
Machine Learning with R - Second Edition
Machine Learning with R - Second Edition

Key Features

  • Harness the power of R for statistical computing and data science
  • Explore, forecast, and classify data with R
  • Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

Deep Learning: Practical Neural Networks with Java
Deep Learning: Practical Neural Networks with Java

Build and run intelligent applications by leveraging key Java machine learning libraries

About This Book

  • Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.
  • Explore a broad variety of data processing, machine learning,...
Practical Graph Analytics with Apache Giraph
Practical Graph Analytics with Apache Giraph

Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of...

Neural Network Programming with Java
Neural Network Programming with Java

Create and unleash the power of neural networks by implementing professional Java code

About This Book

  • Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition
  • Explore the Java multi-platform feature to run your personal neural...
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