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Everything you ever wanted to know about Linux, Open Source, Perl, Java, PHP etc. but never dared ask! Read and unleash your inner guru!
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Databases

Data Analysis with Open Source Tools
These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless.

Author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data in multiple dimensions, time series data, graphical techniques, data mining, machine learning, and many other topics. He also reveals how seat-of-the-pants knowledge can lead you to the best approach right from the start, and how to assess results to determine if they're meaningful.



Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Ser

Programming Collective Intelligence: Building Smart Web 2.0 Applications

R Cookbook (O'Reilly Cookbooks)

Hadoop: The Definitive Guide
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