

| Publisher | Packt Publishing |
| ISBN 10 | 1783284137 |
| Author | Eric Rochester |
| Publication Date | 18 May 2014 |
| ISBN 13 | 9781783284139 |
| Book Description | Leverage the power and fl exibility of Clojure through this practical guide to data ysis About This Book Explore the concept of data ysis 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 Who This Book Is For This book is great for those who have experience with Clojure and need to use it to perform data ysis. This book will also be hugely beneficial for readers with basic experience in data ysis and statistics. What You Will Learn Use geospatial data to learn about geographical patterns in data Use sentiment ysis 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 with large datasets Use topic modeling to find the subjects discussed in a group of doents Use network ysis to learn about online social networks 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 ysis teaches you how to yze and visualize complex datasets. With this book, you'll learn how to perform data ysis 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 ysis, the characteristics of social networks, applying topic modeling to get a handle on unstructured textual data, and GIS ysis to apply geospatial techniques to your data ysis problems. |
| Language | English |
| Number of Pages | 340 pages |

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