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Clojure for Data Science

You're reading from   Clojure for Data Science Statistics, big data, and machine learning for Clojure programmers

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Length 608 pages
Edition 1st Edition
Languages
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Author (1):
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Henry Garner Henry Garner
Author Profile Icon Henry Garner
Henry Garner
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Table of Contents (12) Chapters Close

Preface 1. Statistics FREE CHAPTER 2. Inference 3. Correlation 4. Classification 5. Big Data 6. Clustering 7. Recommender Systems 8. Network Analysis 9. Time Series 10. Visualization Index

Downloading the sample code

All of the book's sample code is available on Packt Publishing's website at http://www.packtpub.com/support or from GitHub at http://github.com/clojuredatascience. Each chapter's sample code is available in its own repository.

Note

The sample code for Chapter 1, Statistics can be downloaded from https://github.com/clojuredatascience/ch1-statistics.

Executable examples are provided regularly throughout all chapters, either to demonstrate the effect of code that has been just been explained, or to demonstrate statistical principles that have been introduced. All example function names begin with ex- and are numbered sequentially throughout each chapter. So, the first runnable example of Chapter 1, Statistics is named ex-1-1, the second is named ex-1-2, and so on.

You have been reading a chapter from
Clojure for Data Science
Published in: Sep 2015
Publisher:
ISBN-13: 9781784397180
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