Bowles, Michael
Machine Learning with Spark and Python: Essential Techniques for Predictive Analysis
- ISBN 13:
- 9781119561934
- author:
- Bowles, Michael
- format:
- Paperback
- publisher:
- John Wiley & Sons Inc
- language:
- English
- Publication Year:
- 2019
- Pages:
- 384
- Dimensions:
- 23.37 x 18.54 x 2.29 centimetres
- Genre:
- Computers, Computer Science, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Mastering machine learning with Spark and Python is now more accessible than ever. This second edition of Machine Learning with Spark and Python simplifies practical applications by focusing on two key algorithms.
The addition of the Spark ML framework from the Apache foundation enhances the book, allowing students to easily process large data sets and integrate Spark algorithms into their Python code. The book delves into two algorithm families: linear methods and ensemble methods, which are effective in predicting outcomes across various use cases such as ad placement on web pages, price prediction in securities markets, or credit card fraud detection.
With a focus on providing full descriptions of the mechanisms at work in these algorithms, this book is accompanied by code examples that illustrate the workings of the machinery with specific and hackable code. This practical approach makes machine learning more manageable for students looking to apply these techniques in real-world scenarios.
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