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Advances in Intelligent Informatics (Advances in Intelligent Systems and Computing)
Advances in Intelligent Informatics (Advances in Intelligent Systems and Computing)
The third International Symposium on Intelligent Informatics (ISI-2014) provided a forum for sharing original research results and practical development experiences among experts in the emerging areas of Intelligent Informatics. This edition was co-located with third International Conference on Advances in Computing, Communications...
iOS 8 App Development Essentials
iOS 8 App Development Essentials

iOS 8 App Development Essentials is the latest edition of this popular book series and has now been fully updated for the Swift programming language, the iOS 8 SDK and Xcode 6. Beginning with the basics, this book provides an outline of the steps necessary to set up an iOS development environment. An introduction to the architecture of iOS 8...

Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
Genetic algorithms (GAs) are randomized search and optimization techniques guided by the principles of evolution and natural genetics; they have a large amount of implicit parallelism. GAs perform multimodal search in complex landscapes and provide near-optimal solutions for objective or tness func tion of an...
Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)
Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)
Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of...
Algorithms, Architectures and Information Systems Security (Statistical Science and Interdisciplinary Research: Platinum Jubilee)
Algorithms, Architectures and Information Systems Security (Statistical Science and Interdisciplinary Research: Platinum Jubilee)
This volume contains articles written by leading researchers in the fields of algorithms, architectures, and information systems security. The first five chapters address several challenging geometric problems and related algorithms. These topics have major applications in pattern recognition, image analysis, digital geometry, surface...
The Mathematica GuideBook for Programming
The Mathematica GuideBook for Programming

This comprehensive, detailed reference provides readers with both a working knowledge of Mathematica in general and a detailed knowledge of the key aspects needed to create the fastest, shortest, and most elegant implementations possible. It gives users a deeper understanding of Mathematica by instructive implementations, explanations, and...

Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)
Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including...

Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

  • Design and create neural network architectures on different domains using Keras
  • Integrate neural network models in your applications using this highly practical...
Mastering Arduino: A project-based approach to electronics, circuits, and programming
Mastering Arduino: A project-based approach to electronics, circuits, and programming

Mastering Arduino is a practical, no-nonsense guide that will teach you the electronics and programming skills that you need to create advanced Arduino projects.

Key Features

  • Covers enough electronics and code for users at any level
  • Includes complete circuit diagrams for...
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks
Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner

Key Features

  • Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide
  • Train different types of neural networks using Tensorflow for...
Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark
Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark

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...
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