Machine Learning with Spark and Python

Name: Machine Learning with Spark and Python
Brand: Unknown
SKU: 9781119561934
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Essential Techniques for Predictive Analytics

By Michael Bowles

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Summary

Machine Learning with Spark and Python by Michael Bowles is an insightful guide into the collaborative power of Apache Spark and Python for developing machine learning solutions. The book provides practical instructions and explanations, focusing on how these technologies can be harnessed to create scalable, efficient models for data analysis. It's an excellent resource for both beginners and seasoned professionals interested in understanding machine learning implementation.
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Format: Paperback / softback

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You might enjoy this book if you're interested in diving into machine learning using Spark, while leveraging the versatility of Python. It's perfect for those who want to explore big data analytics and enhance their practical skills with real-world examples and extensive coding exercises.

Machine Learning with Spark and Python

Description

Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, Second Edition simplifies machine learning for practical uses by focusing on two key algorithms. This new second edition is enhanced with the addition of Spark, a machine learning framework from the Apache foundation. By implementing Spark, machine learning students can easily process much larger data sets and call the Spark algorithms using ordinary Python code.

Machine Learning with Spark and Python focuses on two algorithm families—linear methods and ensemble methods—that effectively predict outcomes. This type of problem covers many use cases such as determining which ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The concentration on these two families allows for comprehensive descriptions of the mechanisms at work within the algorithms.

The accompanying code examples serve to illustrate the workings of the machinery with specific, hackable code, making the concepts accessible and applicable for students and professionals alike.

Book Details

INFORMATION

ISBN: 9781119561934

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 05 December 2019

Country: United States

Imprint: John Wiley & Sons Inc

Edition: 2nd edition

Audience: Professional and scholarly

DIMENSIONS

Spine width: 23.0mm

Width: 185.0mm

Height: 229.0mm

Weight: 612g

Pages: 368

Collections

Computing & Technology Education & Reference Michael Bowles Non-Fiction

About the Author

MICHAEL BOWLES teaches machine learning at UC Berkeley, University of New Haven and Hacker Dojo in Silicon Valley, consults on machine learning projects, and is involved in a number of startups in such areas as semi conductor inspection, drug design and optimization and trading in the financial markets. Following an assistant professorship at MIT, Michael went on to found and run two Silicon Valley startups, both of which went public. His courses are always popular and receive great feedback from participants.