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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

The browser simulation


An HTML page has been supplied in the resources directory of the sample project. Open the page in any modern browser and you should see something similar to the following image:

The left of the page shows a dual histogram with the distribution of two samples, both taken from an exponential distribution. The means of the populations from which the samples are generated are controlled by the sliders at the top right corner of the web page in the box marked as Parameters. Underneath the histogram is a plot showing the two probability densities for the population means based on the samples. These are calculated using the t-distribution, parameterized by the degrees of freedom of the sample. Below these sliders, in a box marked as Settings, are another pair of sliders that set the sample size and confidence intervals for the test. Adjusting the confidence intervals will crop the tails of the t-distributions; at the 95 percent confidence interval, only the central 95 percent...

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