Marketplace books
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Beautiful Data: The Stories Behind Elegant Data Solutions
by Toby Segaran, Jeff Hammerbacher
In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.With Beautiful Data, you will: *Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
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Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions
by Michael Milton
Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others.
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Collective Intelligence in Action
by Satnam Alag
There's a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? Identifying the wants, needs, and knowledge of internet users can be like listening to a mob. In the Web 2.0 era, leveraging the collective power of user contributions, interactions, and feedback is the key to market dominance. A new category of powerful programming techniques lets you discover the patterns, inter-relationships, and individual profiles-the collective intelligence--locked in
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statist
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology.
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Data Analysis Using SQL and Excel
by Gordon S. Linoff
Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more.
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Pro Web 2.0 Mashups: Remixing Data and Web Services (Expert's Voice in Web Development)
by Raymond Yee
The modern Web is awash with data and services just waiting to be used, but how do you make effective use of all this information? The answer lies in APIs (such as Google Maps, Flickr, and Amazon Web Services) and remixing, or mashups. Pro Web 2.0 Mashups: Remixing Data and Web Services teaches you everything you need to create useful, dynamic real–world applications using APIs, web services, Ajax, web standards, and server–side languages.
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Data Mining with Microsoft SQL Server 2008
by Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat
Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks.
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Smart Business Intelligence Solutions with Microsoft® SQL Server® 2008 (PRO-Developer)
by Lynn Langit, Kevin S. Goff, Davide Mauri, Sahil Malik, John Welch
Get expert guidance on SQL Server 2008 technologies, processes, and procedures and accelerate your proficiency developing smart, business intelligence solutions. This book provides practical, end-to-end coverage on how to envision, plan, develop, test, and deploy a complete SQL Server 2008-based business intelligence solution. First, you ll build a foundational knowledge of business intelligence systems and components, including case studies of the most common scenarios.
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Microsoft® SQL Server® 2008 Internals (Pro - Developer)
by Kalen Delaney, Paul S. Randal, Kimberly L. Tripp, Conor Cunningham, Adam Machanic
Explore the definitive guide to the internals and architecture of the Microsoft SQL Server 2008 relational database engine. The author an expert on SQL Server internals offers the guidance developers and database administrators need to understand how SQL Server internal structures affect application development and functionality.
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Programming Collective Intelligence: Building Smart Web 2.0 Applications
by Toby Segaran
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.
