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Computer and Information Security Handbook
Computer and Information Security Handbook

The second edition of this comprehensive handbook of computer and information security provides the most complete view of computer security and privacy available. It offers in-depth coverage of security theory, technology, and practice as they relate to established technologies as well as recent advances. It explores practical...

Learning HTML5 Game Programming: A Hands-on Guide to Building Online Games Using Canvas, SVG, and WebGL
Learning HTML5 Game Programming: A Hands-on Guide to Building Online Games Using Canvas, SVG, and WebGL

Get Started Fast with HTML5 Online Game Programming!

 

HTML5 will transform web and mobile gaming. As new browsers rapidly adopt it, HTML5 will do everything “legacy” technologies such as Flash and Silverlight have done—and...

Statistical Analysis of Financial Data in R (Springer Texts in Statistics)
Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence)
Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence)

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for...

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and...

Foundational and Applied Statistics for Biologists Using R
Foundational and Applied Statistics for Biologists Using R

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students...

Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management
Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management

Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management fills the gap between mathematical programming theory and its implementation in communication networks. From the...

Customer and Business Analytics (Chapman & Hall/CRC The R Series)
Customer and Business Analytics (Chapman & Hall/CRC The R Series)

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools....

Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence)
Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence)

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured...

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

  • Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action
  • Get to grips with Keras and practice on real-world unstructured...
Mastering Python Design Patterns: A guide to creating smart, efficient, and reusable software, 2nd Edition
Mastering Python Design Patterns: A guide to creating smart, efficient, and reusable software, 2nd Edition

Exploit various design patterns to master the art of solving problems using Python

Key Features

  • Master the application design using the core design patterns and latest features of Python 3.7
  • Learn tricks to solve common design and architectural challenges
  • ...
Kotlin Standard Library Cookbook: Master the powerful Kotlin standard library through practical code examples
Kotlin Standard Library Cookbook: Master the powerful Kotlin standard library through practical code examples
Build optimized applications in Kotlin by learning how to make use of the standard library features the smart way.

Key Features
  • Get the most out of the Kotlin library to develop high-quality portable applications
  • Explore the powerful support for data processing and I/O...
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