Welcome to C# 7 and .NET Core 2.0 Blue prints. The power of .NET Core 2.0 is illustrated by taking a blueprint approach to common everyday applications. You will learn how to work with .NET Core 2.0 while creating exciting applications that you can
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neurosci
Essential HTML skills—made easy! Thoroughly updated and revised, HTML: A Beginners Guide, Fifth Edition shows you, step by step, how to create dynamic websites with HTML. The book covers new HTML5 features, including video, audio, and canvas element
Part 2 of this monograph builds on the introduction to tensor net- works and their operations presented in Part 1. It focuses on tensor network models for super-compressed higher-order representation of data/parameters and related cost functions, wh
Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structural richness. However, standard machine learning algo- rithms typically scale exponentially with data
Abstract: This tutorial is a worked-out version of a 5-hour course originally held at AIS in September/October 2002. It has two distinct components. First, it contains a mathematically-oriented crash course on traditional training methods for recurr
This book consists of two parts. Part I describes the essential Mathematica commands illustrated with many examples and Part II presents a variety of applications to mathematics and physics showing how Mathematica could be systematically used to tea
This book provides readers with a solid set of diversified and essential tools for the theoretical modeling and control of complex robotic systems, as well as for digital human modeling and realistic motion generation. Following a comprehensive intr
The topic of this book is Reinforcement Learning—which is a subfield of Machine Learning—focusing on the general and challenging problem of learning optimal behavior in complex environment. The learning process is driven only by reward value and obs
Essential MATLAB for Engineers and Scientists, Sixth Edition, provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB ar
Updated for Excel 2016 and based on the bestselling editions from previous versions, Microsoft Excel 2016 Programming by Example with VBA, XML and ASP is a practical, how-to book on Excel programming, suitable for readers already proficient with the
Emergence of Data Science placed knowledge discovery, machine learning, and data mining in multidimensional data, into the forefront of a wide range of current research, and application activities in computer science, and many domains far beyond it.
David Flanagan, Yukihiro Matsumoto The Ruby Programming Language is the authoritative guide to Ruby and provides comprehensive coverage of versions 1.8 and 1.9 of the language. It was written (and illustrated!) by an all-star team: David Flanagan, b
The AutoCAD® 3D Modeling Exercise Workbook is designed for classroom instruction and self-study alike, and is suitable for both inch and metric users. There are 8 lessons and 4 modeling projects, all of which are heavily illustrated, for visual lear
Fundamentals of Statistical Signal Processing: Practical Algorithm Development is the third volume in a series of textbooks by the same name. Previous volumes described the underlying theory of estimation and detection algorithms. In contrast, the c
