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Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

MRP: Rs.925.00
Price in points: 925 points
9789352135721
In stock
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All Indian Reprints of O'Reilly are printed in Grayscale.

"Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. with the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka and other tools.

Author Russell Jurney demonstrates how to compose a data platform for building, deploying and refining analytics applications with Apache Kafka, MongoDB, Elastic Search, d3.js, scikit-learn and Apache Airflow. You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application and affect meaningful change in your organization.
  • Build value from your data in a series of agile sprints, using the data-value pyramid
  • Extract features for statistical models from a single dataset
  • Visualize data with charts and expose different aspects through interactive reports
  • Use historical data to predict the future via classification and regression
  • Translate predictions into actions

Books

Author:
Russell Jurney
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
No
Pages:
352
Publication Date:
2017
Publisher:
Shroff/O'Reilly

Table of Contents (9789352135721_toc.pdf, 227 Kb) [Download]

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