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Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

  • Explore deep reinforcement learning (RL), from the first principles to the latest algorithms
  • Evaluate high-profile RL methods, including value...
Essentials of Computational Chemistry: Theories and Models
Essentials of Computational Chemistry: Theories and Models

Essentials of Computational Chemistry provides a balanced introduction to this dynamic subject.  Suitable for both experimentalists and theorists, a wide range of samples and applications are included drawn from all key areas.  The book carefully leads the reader thorough the necessary equations providing information explanations...

Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty (Studies in Computational Intelligence)
Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty (Studies in Computational Intelligence)
Some information and knowledge are usually represented by human language like “about 100km”, “approximately 39 ?C”, “roughly 80kg”, “low speed”, “middle age”, and “big size”. Perhaps some people think that they are subjective probability or they are fuzziness....
Machine Learning and Data Mining
Machine Learning and Data Mining
The book describes the basics of machine learning principles and algorithms that are used in data mining and is intended for students of computer science, researchers who need to adapt various algorithms for particular data mining tasks, and for education of sophisticated users of machine learning and data mining tools.

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Introduction to Dynamic Modeling of Neuro-Sensory Systems (Biomedical Engineering)
Introduction to Dynamic Modeling of Neuro-Sensory Systems (Biomedical Engineering)

Although neural modeling has a long history, most of the texts available on the subject are quite limited in scope, dealing primarily with the simulation of large-scale biological neural networks applicable to describing brain function. Introduction to Dynamic Modeling of Neuro-Sensory Systems presents the mathematical tools and methods that...

Schaum's Outline of Trigonometry
Schaum's Outline of Trigonometry
In revising the second edition, the strengths of the prior editions were retained while reflecting the changes in the study of trigonometry during the last ten years. This edition deletes the use of logarithms entirely, increases the use of calculators, and changes from the column form of working identity problems to the horizontal...
Numerical Methods for Nonlinear Estimating Equations (Oxford Statistical Science, Vol. 29)
Numerical Methods for Nonlinear Estimating Equations (Oxford Statistical Science, Vol. 29)
This book has grown from the authors' investigations into the problem of finding consistent and efficient solutions to estimating equations which admit multiple solutions. While there have been studies of multiple roots in likelihood estimation, most notably by Barnett (1966), we felt that there was a need to incorporate more...
Pro SQL Server 2012 Administration (Professional Apress)
Pro SQL Server 2012 Administration (Professional Apress)

Pro SQL Server 2012 Administration is a one-stop source for all the knowledge you'll need to professionally manage a database under Microsoft SQL Server 2012. SQL Server administration is a complex field requiring an unusually broad and well-rounded skill set. A good database administrator must be part system...

Engineering Heat Transfer, Second Edition
Engineering Heat Transfer, Second Edition
In writing Engineering Hear Trmnfer, I have attempted to provide the reader with a foundation in the study of heat-transfer principles while also emphasizing some of the topic's practical applications. The mathematics presented in the text should not present undue learning difficulties to the student who has completed first...
Hadoop Operations
Hadoop Operations
Over the past few years, there has been a fundamental shift in data storage, management, and processing. Companies are storing more data from more sources in more formats than ever before. This isn’t just about being a “data packrat” but rather building products, features, and intelligence predicated on knowing more about...
GIS Applications in Agriculture, Volume Two: Nutrient Management for Energy Efficiency
GIS Applications in Agriculture, Volume Two: Nutrient Management for Energy Efficiency

We are entering a new era in production agronomics. Agricultural scientists the world over call for the development of techniques that simultaneously increase soil carbon storage and reduce agriculture’s energy use. In response, site-specific or precision agriculture has become the focus and direction for the three motivating forces...

Handbook of Differential Equations: Stationary Partial Differential Equations, Volume 6
Handbook of Differential Equations: Stationary Partial Differential Equations, Volume 6

This is a survey on elliptic boundary value problems on varying domains and tools needed for that. Such problems arise in numerical analysis, in shape optimisation  problems and in the investigation of the solution structure of nonlinear elliptic equations. The methods are also useful to obtain certain results for equations on non-smooth...

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