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Mastering Clojure Data Analysis [Paperback]

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  • Category: Books (Computers)
  • Author:  Eric Rochester
  • Author:  Eric Rochester
  • ISBN-10:  1783284137
  • ISBN-10:  1783284137
  • ISBN-13:  9781783284139
  • ISBN-13:  9781783284139
  • Publisher:  Packt Publishing - ebooks Account
  • Publisher:  Packt Publishing - ebooks Account
  • Pages:  350
  • Pages:  350
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2014
  • Pub Date:  01-Mar-2014
  • SKU:  1783284137-11-MPOD
  • SKU:  1783284137-11-MPOD
  • Item ID: 100827345
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jun 30 to Jul 02
  • Notes: Brand New Book. Order Now.

If youd like to apply your Clojure skills to performing data analysis, this is the book for you. The example based approach aids fast learning and covers basic to advanced topics. Get deeper into your data.

Overview

  • Explore the concept of data analysis using established scientific methods combined with the powerful Clojure language
  • Master Naive Bayesian Classification, Benford's Law, and much more in Clojure
  • Learn with the help of examples drawn from exciting, real-world data

In Detail

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.

What you will learn from this book

  • Use geospatial data to learn about geographical patterns in data
  • Use sentiment analysis to determine people's opinions from online reviews
  • Frame and implement statistical experiments
  • Use A/B testing to determine the best
  • UI to keep users engaged
  • Work with time series data
  • Learn how to use parallelization and concurrency to work wlÓ@
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