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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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Toc

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

Running the examples

Each example is a function in the cljds.ch1.examples namespace that can be run in two ways—either from the REPL or on the command line with Leiningen. If you'd like to run the examples in the REPL, you can execute:

lein repl

on the command line. By default, the REPL will open in the examples namespace. Alternatively, to run a specific numbered example, you can execute:

lein run –-example 1.1

or pass the single-letter equivalent:

lein run –e 1.1

We only assume basic command-line familiarity throughout this book. The ability to run Leiningen and shell scripts is all that's required.

Tip

If you become stuck at any point, refer to the book's wiki at http://wiki.clojuredatascience.com. The wiki will provide troubleshooting tips for known issues, including advice for running examples on a variety of platforms.

In fact, shell scripts are only used for fetching data from remote locations automatically. The book's wiki will also provide alternative instructions for those not wishing or unable to execute the shell scripts.

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