Jurney, Russell
Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark
- ISBN 13:
- 9781491960110
- author:
- Jurney, Russell
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2017
- Pages:
- 352
- Dimensions:
- 25 x 15 x 1.5 centimetres (0.67
- Genre:
- Computers, Programming, CGI
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Learn to build data applications with Python, Apache Spark, and other tools using the Agile Data Science development methodology. This hands-on guide covers how to compose a data platform for building, deploying, and refining analytics applications.
Author Russell Jurney demonstrates an iterative approach that lets you quickly change the kind of analysis you're doing, depending on what the data is telling you. You'll learn to publish data science work as a web application, affect meaningful change in your organization, and build value from your data in agile sprints.
Discover how to extract features for statistical models from a single dataset, visualize data with charts, expose different aspects through interactive reports, use historical data to predict the future via classification and regression, and get feedback from users after each sprint to keep your project on track.
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