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- Author: Eric Rochester
- Publisher: Packt Publishing
- ISBN-10: 1784390291
- ISBN-13: 9781784390297
- Format: 19.1 x 23.5 x 2 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
Data is everywhere and it's increasingly important to be able to gain insights that we can act on. Using Clojure for data analysis and collection, this book will show you how to gain fresh insights and perspectives from your data with an essential collection of practical, structured recipes.
"The Clojure Data Analysis Cookbook" presents recipes for every stage of the data analysis process. Whether scraping data off a web page, performing data mining, or creating graphs for the web, this book has something for the task at hand.
You'll learn how to acquire data, clean it up, and transform it into useful graphs which can then be analyzed and published to the Internet. Coverage includes advanced topics like processing data concurrently, applying powerful statistical techniques like Bayesian modelling, and even data mining algorithms such as K-means clustering, neural networks, and association rules.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 17d.12:26:06
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Eric Rochester
- Publisher: Packt Publishing
- ISBN-10: 1784390291
- ISBN-13: 9781784390297
- Format: 19.1 x 23.5 x 2 cm, softcover
- Language: English English
Data is everywhere and it's increasingly important to be able to gain insights that we can act on. Using Clojure for data analysis and collection, this book will show you how to gain fresh insights and perspectives from your data with an essential collection of practical, structured recipes.
"The Clojure Data Analysis Cookbook" presents recipes for every stage of the data analysis process. Whether scraping data off a web page, performing data mining, or creating graphs for the web, this book has something for the task at hand.
You'll learn how to acquire data, clean it up, and transform it into useful graphs which can then be analyzed and published to the Internet. Coverage includes advanced topics like processing data concurrently, applying powerful statistical techniques like Bayesian modelling, and even data mining algorithms such as K-means clustering, neural networks, and association rules.
Reviews