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Data Analysis with Open Source Tools

A Hands-On Guide for Programmers and Data Scientists

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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 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.

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Data Analysis with Open Source Tools, Philipp K. Janert

Język
Rok wydania
2010
Oprawa
(miękka)
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Tytuł
Data Analysis with Open Source Tools
Podtytuł
A Hands-On Guide for Programmers and Data Scientists
Język
angielski
Rok wydania
2010
Oprawa
miękka
Liczba stron
530
ISBN10
0596802358
ISBN13
9780596802356
Seria
Opis
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 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.