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Clojure for Data Science

You're reading from Clojure for Data Science

Product type Book

Published in Sep 2015

Publisher

ISBN-13 9781784397180

Pages 608 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Henry Garner

Table of Contents (18) Chapters

Clojure for Data Science

Credits

About the Author

Acknowledgments

About the Reviewer

www.PacktPub.com

Preface

1. Statistics

2. Inference

3. Correlation

4. Classification

5. Big Data

6. Clustering

7. Recommender Systems

8. Network Analysis

9. Time Series

10. Visualization

Index

Testing multiple designs

It's been disappointing to discover that there is no statistical significance behind the increased dwell time of users on the new site design. Better that we discovered this on a small sample of users before we rolled it out to the world though.

Not to be discouraged, AcmeContent's web team works overtime and devises a suite of alternative site designs. Taking the best elements from the other designs, they devise 19 variations to be tested. Together with our original site, which will act as a control, there are 20 different sites to direct visitors to.

Calculating sample means

The web team deploys the 19 new site designs alongside the original site. As mentioned earlier, each receives a random 5 percent of the visitors. We let the test run for 24 hours.

The next day, we receive a file that shows the dwell times for visitors to each of the site designs. Each has been labeled with a number, with site 0 corresponding to the original unaltered design, and numbers 1 to 19...

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Authors (1)

Henry Garner

Henry Garner is a graduate from the University of Oxford and an experienced developer, CTO, and coach. He started his technical career at Britain's largest telecoms provider, BT, working with a traditional data warehouse infrastructure. As a part of a small team for 3 years, he built sophisticated data models to derive insight from raw data and use web applications to present the results. These applications were used internally by senior executives and operatives to track both business and systems performance. He then went on to co-found Likely, a social media analytics start-up. As the CTO, he set the technical direction, leading to the introduction of an event-based append-only data pipeline modeled after the Lambda architecture. He adopted Clojure in 2011 and led a hybrid team of programmers and data scientists, building content recommendation engines based on collaborative filtering and clustering techniques. He developed a syllabus and copresented a series of evening classes from Likely's offices for professional developers who wanted to learn Clojure. Henry now works with growing businesses, consulting in both a development and technical leadership capacity. He presents regularly at seminars and Clojure meetups in and around London.

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