Packt is pleased to announce the launch of Clojure Data Analysis Cookbook, a new book and e-book designed to analyze data and transform it into easy-to-interpret, beautiful, and insightful graphs. This book will take the reader through the world of data analysis, data collection, and various other techniques focusing on getting the job done quickly.
About the author: Eric Rochester is experienced in a variety of programming languages and platforms, including websites and systems in Python and libraries for linguistics and statistics in C#. He is currently exploring different functional programming languages, including Clojure and Haskell.
Clojure is a dialect of the Lisp programming language and is a functional general purpose language.
The structured recipes will help readers gain fresh insights into creating graphs that can be published on the Internet. It then goes on to explain powerful clustering and data mining techniques, scraping data off a web page, and so on.
Readers will be then introduced to functions like Incanter, Hadoop, and Weka, applying powerful statistical techniques like Bayesian modeling, and even data mining algorithms such as K-means clustering, neural networks, and association rules. The book is filled with practical tips taking readers through a step-by-step process covering every aspect of data analysis.
The book covers topics such as:
Chapter 1: Importing Data for Analysis
Chapter 2: Cleaning and Validating Data
Chapter 3: Managing Complexity with Concurrent Programming
Chapter 4: Improving Performance with Parallel Programming
Chapter 5: Distributed Data Processing with Cascalog
Chapter 6: Working with Incanter Datasets
Chapter 7: Preparing for and Performing Statistical Data Analysis with Incanter
Chapter 8: Working with Mathematica and R
Chapter 9: Clustering, Classifying, and Working with Weka
Chapter 10: Graphing in Incanter
Chapter 11: Creating Charts for the Web
This book is beneficial for beginners who want to familiarize themselves with Clojure and advanced users who want to further enhance their skills. It will be an added advantage if readers have prior experience with Clojure. This is the first book in the series and is available in Kindle, e-pub, and PDF formats. For more information please visit: http://www.packtpub.com/clojure-data-analysis-cookbook
|Clojure Data Analysis Cookbook|
|Create beautiful, insightful graphs that you can publish to the Internet
For more information, please visit: http://www.packtpub.com/clojure-data-analysis-cookbook/book