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Eric Rochester — Mastering Clojure Data Analysis [2014, PDF/EPUB/MOBI, ENG] torrent


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Download Eric Rochester — Mastering Clojure Data Analysis [2014, PDF/EPUB/MOBI, ENG] torrent




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Книги и журналы » Компьютерная литература » Программирование (книги)

Mastering Clojure Data Analysis

Год: 2014
Автор: Eric Rochester
Издательство: Packt Publishing
ISBN: 9781783284139
Язык: Английский
Формат: PDF/ePub/MOBI
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Да
Количество страниц: 340

Описание: Clojure is a Lisp dialect built on top of the Java Virtual Machine. As data increasingly invades more and more parts of our lives, we continually need more tools to deal with it effectively. Data can be organized effectively using Clojure data tools.

Mastering Clojure Data Analysis teaches you how to analyze and visualize complex datasets. With this book, you'll learn how to perform data analysis using established scientific methods with the modern, powerful Clojure programming language with the help of exciting examples drawn from real-world data. This will help you get to grips with advanced topics such as network analysis, the characteristics of social networks, applying topic modeling to get a handle on unstructured textual data, and GIS analysis to apply geospatial techniques to your data analysis problems.

With this guide, you'll learn how to leverage the power and flexibility of Clojure to dig into your data and access the insights it hides.
[spoiler="Примеры страниц"]

[/spoiler]
[spoiler="Оглавление"]
Preface
Chapter 1: Network Analysis – The Six Degrees of Kevin Bacon
Chapter 2: GIS Analysis – Mapping Climate Change
Chapter 3: Topic Modeling – Changing Concerns in the State of the Union Addresses
Chapter 4: Classifying UFO Sightings
Chapter 5: Benford's Law – Detecting Natural Progressions of Numbers
Chapter 6: Sentiment Analysis – Categorizing Hotel Reviews
Chapter 7: Null Hypothesis Tests – Analyzing Crime Data
Chapter 8: A/B Testing – Statistical Experiments for the Web
Chapter 9: Analyzing Social Data Participation
Chapter 10: Modeling Stock Data
Index
[/spoiler]

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