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TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

The SEO Battlefield: Winning Strategies for Search Marketing Programs
The SEO Battlefield: Winning Strategies for Search Marketing Programs

Welcome to the battlefield. Every day, companies ranging from startups to enterprises fight to achieve high search rankings, knowing that previous success can quickly vanish. With this practical guide, you’ll learn how to put search engine optimization (SEO) methodology into practice, including the research, data analysis, and...

Business Intelligence: Data Mining and Optimization for Decision Making
Business Intelligence: Data Mining and Optimization for Decision Making

Business intelligence is a broad category of applications andtechnologies for gathering, providing access to, and analyzing datafor the purpose of helping enterprise users make better businessdecisions. The term implies having a comprehensive knowledge of allfactors that affect a business, such as customers, competitors,business partners,...

Geometric Algorithms and Combinatorial Optimization (Algorithms and Combinatorics 2)
Geometric Algorithms and Combinatorial Optimization (Algorithms and Combinatorics 2)

This book develops geometric techniques for proving the polynomial time solvability of problems in convexity theory, geometry, and - in particular - combinatorial optimization. It offers a unifying approach based on two fundamental geometric algorithms: - the ellipsoid method for finding a point in a convex set and - the basis reduction...

Data Mining in Agriculture (Springer Optimization and Its Applications)
Data Mining in Agriculture (Springer Optimization and Its Applications)

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining...

Spatial Audio Processing: MPEG Surround and Other Applications
Spatial Audio Processing: MPEG Surround and Other Applications

This book collects a wealth of information about spatial audio coding into one comprehensible volume. It is a thorough reference to the 3GPP and MPEG Parametric Stereo standards and the MPEG Surround multi-channel audio coding standard. It describes key developments in coding techniques, which is an important factor in the optimization of...

JavaScript Recipes: A Problem-Solution Approach
JavaScript Recipes: A Problem-Solution Approach

Quickly discover solutions to common problems, best practices you can follow, and everything JavaScript has to offer. Using a problem-solution approach, this book takes you from language basics like built-in objects and flow control all the way to advanced optimization techniques, frameworks and Node.js. 

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Flexibility and Robustness in Scheduling
Flexibility and Robustness in Scheduling

Scheduling is a broad research area and scheduling problems arise from several application domains (production systems, logistic, computer science, etc.). Solving scheduling problems requires tools of combinatorial optimization, exact or approximated algorithms. Flexibility is at the frontier between predictive deterministic approaches and...

Joint Source-Channel Coding of Discrete-Time Signals with Continuous Amplitudes (Communications and Signal Processing)
Joint Source-Channel Coding of Discrete-Time Signals with Continuous Amplitudes (Communications and Signal Processing)
This book provides the first comprehensive and easy-to-read discussion of joint source-channel encoding and decoding for source signals with continuous amplitudes. It is a state-of-the-art presentation of this exciting, thriving field of research, making pioneering contributions to the new concept of source-adaptive modulation. The book starts with...
Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)
Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the...

Advanced FPGA Design: Architecture, Implementation, and Optimization
Advanced FPGA Design: Architecture, Implementation, and Optimization

In the design-consulting business, I have been exposed to countless FPGA (Field Programmable Gate Array) designs, methodologies, and design techniques. Whether my client is on the Fortune 100 list or is just a start-up company, they will inevitably do some things right and many things wrong. After having been exposed to a wide variety of...

Introduction to Computational Models with Python (Chapman & Hall/CRC Computational Science)
Introduction to Computational Models with Python (Chapman & Hall/CRC Computational Science)

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such...

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