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Official Ubuntu Server Book, The (2nd Edition)
Official Ubuntu Server Book, The (2nd Edition)

Ubuntu Server is a complete, free server operating system that just works, with the extra Ubuntu polish, innovation, and simplicity that administrators love.

Now, there’s a definitive, authoritative guide to getting up-and-running quickly with the newest, most powerful versions of Ubuntu Server. Written...

VMware Cookbook: A Real-World Guide to Effective VMware Use
VMware Cookbook: A Real-World Guide to Effective VMware Use

With scores of step-by-step solutions, this cookbook helps you work with VMware ESXi in a wide range of network environments. You’ll not only learn the basics—how to pool resources from hardware servers, computer clusters, networks, and storage, and then distribute them among virtual machines—but also how to...

Performance Tuning for Linux(R) Servers
Performance Tuning for Linux(R) Servers
Proven techniques for optimizing web, file, print, database, and application servers Practical introductions to open source performance management tools Easy-to-understand examples based on Red Hat Enterprise Linux and Novell SUSE Linux Enterprise ServerAn indispensable guide to maximizing Linux system and application performanceFrom Wall...
Clustering (IEEE Press Series on Computational Intelligence)
Clustering (IEEE Press Series on Computational Intelligence)
Clustering has become an increasingly important topic in recent years, caused by the glut of data from a wide variety of disciplines. However, due to the lack of good communication among these communities, similar theories or algorithms are redeveloped many times, causing unnecessary waste of time and resources. Furthermore, different terminologies...
Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)

This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble methods. The final chapters focus on clustering, dimension reduction, variable selection, and...

Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration
Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration

A complete guide to Pentaho Kettle, the Pentaho Data lntegration toolset for ETL

This practical book is a complete guide to installing, configuring, and managing Pentaho Kettle. If you’re a database administrator or developer, you’ll first get up to speed on Kettle basics and how to apply Kettle to create ETL...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
Configuring Exchange 2000 Server
Configuring Exchange 2000 Server
C.A. Murff MCSE, MCT, CTT, CNA
Who should read this book? Anyone looking for clear, relevant answers on how to best utilize their existing Exchange 2000 environment.

Configuring Exchange Server 2000 is an intermediate to advanced book for both administrators and developers who are actively using
...
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Learn How To Convert Web Data Into Web Knowledge

This text demonstrates how to extract knowledge by finding meaningful connections among data spread throughout the Web. Readers learn methods and algorithms from the fields of information retrieval, machine learning, and data mining which, when combined, provide a solid...

Machine Learning with R - Second Edition
Machine Learning with R - Second Edition

Key Features

  • Harness the power of R for statistical computing and data science
  • Explore, forecast, and classify data with R
  • Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

Fundamentals of Predictive Text Mining (Texts in Computer Science)
Fundamentals of Predictive Text Mining (Texts in Computer Science)

Five years ago, we authored “Text Mining: Predictive Methods for Analyzing Unstructured Information.” That book was geared mostly to professional practitioners, but was adaptable to course work with some effort by the instructor. Many topics were evolving, and this was one of the earliest efforts to collect material for predictive...

Principles of Data Mining (Undergraduate Topics in Computer Science)
Principles of Data Mining (Undergraduate Topics in Computer Science)

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each...

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