Wow! eBook – Blog

Book Description

A complete and comprehensive handbook for the application of data mining techniques in marketing and customer relationship management. It combines a technical and a business perspective, bridging the gap between data mining and its use in marketing.

It guides readers through all the phases of the data mining process, presenting a solid data mining methodology, data mining best practices and recommendations for the use of the data mining results for effective marketing. It answers the crucial question of ‘what data to use’ by proposing mining data marts and full lists of KPIs for all major industries.Data mining algorithms are presented in a simple and comprehensive way for the business users along with real-world application examples from all major industries.

The book is mainly addressed to marketers, business analysts and data mining practitioners who are looking for a how-to guide on data mining. It presents the authors’ knowledge and experience from the “data mining trenches”, revealing the secrets for data mining success.

Review
“Turning data into action is the aim of this insightful and practice-oriented book; it succeeds in an extraordinary way. It superbly demonstrates how to use analytical data mining techniques to gain actionable results when analyzing a customer base.This book is poised to become a standard reference, and I unconditionally recommend it to anyone working in this field”
–ACM Computing Reviews (Reviews.com) Jun 2011 Download Now »

Book Description

With this digital Early Release edition of HLSL and Pixel Shaders for XAML Developers, you get the entire book bundle in its earliest form – the author’s raw and unedited content – so you can take advantage of this content long before the book’s official release. You’ll also receive updates when significant changes are made, as well as the final ebook version.

Graphic Shaders are used throughout the game and movie industry to improve onscreen graphics. They are versatile, doing important tasks like making computer rendered aliens look realistic, providing the ripples on a background lake or growing fur on the latest Pixar monster. In the PC world, programmers are often delighted to find that shaders are nothing more than a miniature program that is optimized to run on the computers GPU. This happiness fades when they start exploring the strange programming model underlying shaders however. Because shaders are strung together in an unusual fashion and run on a massive parallel processer developers shouldn’t use their traditional OO or procedural approach to writing code. Writing effective shaders requires a mind shift regarding how to craft a useful algorithm. To top it off, shaders are written in a unfamiliar C-like language. In the Microsoft DirectX world the dominant language is High Level Shader Language or HLSL.

Table of Contents
Chapter 1. Shader 101
Chapter 2. Getting Started Download Now »

Book Description

This newest edition examines fundamental data structures by following a consistent object-oriented framework that builds intuition and analysis skills of data structures and algorithms

Presents new figures, simpler language, and more practical motivations from real-world scenarios

Numerous illustrations, Web-based animations, and simplified mathematical analyses help readers quickly learn important concepts

From the Back Cover
A Clear, Visual Approach to Fundamental Data Structures and Algorithms

Goodrich and Tamassia’s DATA STRUCTURES AND ALGORITHMS IN JAVA, 5/E, incorporates the object-oriented design paradigm, using Java as the implementation language. The authors provide intuition, description, and analysis of fundamental data structures and algorithms. Numerous illustrations, web-based animations, and simplified mathematical analyses justify important analytical concepts.

In the Second Edition, the authors have improved their text by simplifying advanced topics, including many new exercises, and revising most Java code exmples. You’ll also find updated and expanded coverage of Internet-related topics, Object-oriented design, and the Java programming language, including the Collections framework and Design Patterns.

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Book Description

Learn, prepare, and practice for CompTIA Security+ SY0-301exam success with this CompTIA Authorized Cert Guide, Deluxe Edition from Pearson IT Certification, a leader in IT Certification learning and a CompTIA Authorized Platinum Partner. DVD features three complete practice exams, complete video solutions to the 25 hands-on labs, plus 25 interactive flash-based learning activities that include drag-n-drop and matching to reinforce the learning.

• Master CompTIA’s Security+ SY0-301 exam topics
• Assess your knowledge with chapter-ending quizzes
• Review key concepts with exam preparation tasks
• Practice with realistic exam questions on the DVD
• Includes complete video solutions to the 25 hands-on labs
• Plus 25 interactive learning activities on key exam topics

CompTIA Security+ SY0-301 Authorized Cert Guide, Deluxe Edition includes video solutions to the hands-on labs, practice tests, and interactive activities that let the reader learn by doing. Best-selling author and expert instructor David Prowse shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics.

The book presents you with an organized test preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Download Now »

Book Description

The emergence of the cloud and modern, fast corporate networks demands that you perform judicious balancing of computational loads. Practical Load Balancing presents an entire analytical framework to increase performance not just of one machine, but of your entire infrastructure.

Practical Load Balancing starts by introducing key concepts and the tools you’ll need to tackle your load-balancing issues. You’ll travel through the IP layers and learn how they can create increased network traffic for you. You’ll see how to account for persistence and state, and how you can judge the performance of scheduling algorithms.

You’ll then learn how to avoid performance degradation and any risk of the sudden disappearance of a service on a server. If you’re concerned with running your load balancer for an entire network, you’ll find out how to set up your network topography, and condense each topographical variety into recipes that will serve you in different situations. You’ll also learn about individual servers, and load balancers that can perform cookie insertion or improve your SSL throughput.

You’ll also explore load balancing in the modern context of the cloud. While load balancers need to be configured for high availability once the conditions on the network have been created, modern load balancing has found its way into the cloud, where good balancing is vital for the very functioning of the cloud, and where IPv6 is becoming ever more important.

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Book Description

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs — with just enough math to let you understand and analyze algorithm performance.

With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate.

With this book, you will:

• Solve a particular coding problem or improve on the performance of an existing solution
• Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use
• Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips
• Learn the expected performance of an algorithm, and the conditions it needs to perform at its best
• Discover the impact that similar design decisions have on different algorithms
• Learn advanced data structures to improve the efficiency of algorithms

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