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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 Henry Garner
Profile icon Henry Garner
LinkedIn
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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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

Download the code and data

In this chapter, we'll make use of data on film recommendations from the website https://movielens.org/. The site is run by GroupLens, a research lab in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities.

Datasets have been made available in several different sizes at https://grouplens.org/datasets/movielens/. In this chapter, we'll be making use of "MovieLens 100k"—a collection of 100,000 ratings from 1,000 users on 1,700 movies. As the data was released in 1998, it's beginning to show its age, but it provides a modest dataset on which we can demonstrate the principles of recommender systems. This chapter will give you the tools you need to process the more recently released "MovieLens 20M" data: 20 million ratings by 138,000 users on 27,000 movies.

Note

The code for this chapter is available from the Packt Publishing's website or from https://github.com/clojuredatascience/ch7-recommender-systems.

As usual, a shell script...

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Authors (1)

Profile icon Henry Garner
LinkedIn
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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See other products by Henry Garner

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