Learn IT - Books tags distributed

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Packt Publishing, 2018

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow

Explore deep neural...

Learn Bitcoin and Blockchain: Understanding blockchain and Bitcoin architecture to build decentralized applications

Packt Publishing, 2018

Get up and running with the fundamentals of Bitcoin and blockchain

Key Features

Learn quick, effective, and easy ways to master blockchain and Bitcoin

Understand the impact of decentralization and discover ways to tackle it

Explore the future of Bitcoin...

Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Packt Publishing, 2019

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

Get a hands-on, fast-paced introduction to the Python data science stack

Explore ways to create useful metrics and statistics from...

Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions

McGraw-Hill, 2018

Develop, validate, and deploy powerful decentralized applications using blockchain

Get the most out of cutting-edge blockchain technology using the hands-on information contained in this comprehensive resource. Written by a team of technology and legal experts, Blockchain:...

Reactive Design Patterns

Manning Publications, 2017

Summary

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly...

Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark

Packt Publishing, 2018

A solution-based guide to put your deep learning models into production with the power of Apache Spark

Key Features

Discover practical recipes for distributed deep learning with Apache Spark

Learn to use libraries such as Keras and TensorFlow

Solve...

Practical Modern SCADA Protocols: DNP3, 60870.5 and Related Systems (IDC Technology)

Newnes, 2004

This is a comprehensive book covering the essentials of SCADA communication systems focusing on
DNP3 and the other new developments in this area. It commences with a brief review of the
fundamentals of SCADA systems hardware, software and the typical communications systems (such
as RS-232, RS-485, Ethernet and TCP/IP) that connect...

Securing SCADA Systems

John Wiley & Sons, 2005

How to secure systems that weren't built for security

Worldwide, critical economic and governmental infrastructures have evolved into complex networks that facilitate communication, cost reduction, and efficiency. But the very features that create such benefits make these supervisory control and data acquisition, or SCADA, systems a security...

Deploying Node.js

Packt Publishing, 2015

Learn how to build, test, deploy, monitor, and maintain your Node.js applications at scale

About This Book

Gain comprehensive information on scaling Node.js both vertically and horizontally in the cloud and across virtual machines

Learn how to use Gulp, Mocha, Chai, PhantomJS, Git,...

Mathematical Summary for Digital Signal Processing Applications with Matlab

Springer, 2010

Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial...

Python Data Analysis

Packt Publishing, 2017

Key Features

Find, manipulate, and analyze your data using the Python 3.5 libraries

Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code

An easy-to-follow guide with realistic examples that are frequently used in real-world data...

Distributed Algorithms (The Morgan Kaufmann Series in Data Management Systems)

Morgan Kaufmann, 1997

In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers, and researchers.

Distributed Algorithms contains the most significant algorithms and impossibility...

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