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Distributed Systems, 3rd Edition (Maarten van Steen, et al)

This book covers the principles, advanced concepts, and technologies of distributed systems in detail, including: communication, replication, fault tolerance, and security. It shows how distributed systems are designed and implemented in real systems.

Computer and Network Organization (Maarten van Steen, et al)

Introduces the technical principles of computer architecture, operating systems and computer networks and provides a practical overview. It explains how the interaction between hardware and software takes place in relation to network operating systems.

Embedded Firmware Solutions: Practices for the Internet of Things

This book is the perfect introduction and daily-use field guide – for the thousands of firmware designers, hardware engineers, architects, managers, and developers, showing how to integrate Intel® Architecture designs into their plans.

Deep Learning (Ian Goodfellow, et al)

Written by three experts, this is the only comprehensive book on the subject. It offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning.

This book describes Python web frameworks ranging from full-stack options that offer a lot of functionality to micro frameworks that focus on simplicity with fewer features. Learn how to choose a framework that best fits your development needs.

Probability on Trees and Networks (Russell Lyons, et al)

This book is concerned with certain aspects of discrete probability on infinite graphs that are currently in vigorous development. Of course, finite graphs are analyzed as well, but usually with the aim of understanding infinite graphs and networks.

MongoDB 3 Succinctly (Zoran Maksimovic)

This book touches on the most important aspects of the MongoDB database that application developers should be aware of—from installation and the usage of the Mongo Shell, to examples of the MongoDB C# driver APIs for Microsoft .NET Framework.

Even the best programmers make mistakes. Some have been simple and silly; others were embarrassing and downright costly. The author dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong.

Practical Guide to Bare Metal C++ (Alex Robenko)

This book delivers a highly practical guide to programming real-time embedded microcontroller systems in C++. It describes where bare-metal systems are used. It will help someone to get started with using C++ in embedded bare metal development.

Computational and Inferential: The Foundations of Data Science

Post under Data Science on Sat Jul 01, 2017

Step by step, you’ll learn how to leverage algorithmic thinking and the power of code, gain intuition about the power and limitations of current machine learning methods, and effectively apply them to real business problems.

Artificial Neural Networks – Models and Applications

This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique. It contains chapters on basic concepts of artificial neural networks.

Applied Artificial Neural Networks (Christian Dawson)

This book focuses on the application of neural networks to a diverse range of fields and problems. It collates contributions concerning neural network applications in areas such as engineering, hydrology and medicine.

This book provides proven steps and strategies on learning what Linux is and how to use it. It contains information on the Linux Operating System, especially for beginners.

Optimization Algorithms- Methods and Applications

This book covers state-of-the-art optimization methods and their applications in wide range especially for researchers and practitioners who wish to improve their knowledge in this field.

Global Optimization Algorithms – Theory and Application. 2nd Ed.

This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on Evolutionary Computation by discussing evolutionary algorithms, genetic algorithms, Genetic Programming, etc.

Artificial Neural Networks – Architectures and Applications

This book covers architectures, design, optimization, and analysis of artificial neural networks as well as applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications.


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