Machine learning with Spark and Python: essential techniques for predictive analytics

By:

Bowles, Michael

Publication details: New Delhi: Wiley India, 2025.Edition: 2nd edDescription: xxix, 364p.: pbk.: 24 cmISBN:

9789363861817

Subject(s):

DDC classification:

006.312 BOW

Summary: Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark—a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large 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 what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code. https://www.wiley.com/en-be/Machine+Learning+with+Spark+and+Python%3A+Essential+Techniques+for+Predictive+Analytics%2C+2nd+Edition-p-9781119561934

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Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	006.312 BOW (Browse shelf(Opens below))	1	Available	036107

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Previous	006.31015192 MUR Probabilistic machine learning: advanced topics	006.312 AGG Machine learning for text	006.312 AGG Frequent pattern mining	006.312 BOW Machine learning with Spark and Python: essential techniques for predictive analytics	006.312 DAM Learning spark: lightning-fast data analytics	006.312 DON Exploiting the power of group differences: using patterns to solve data analysis problems	006.312 GRI Text as data: a new framework for machine learning and the social sciences	Next

Includes Appendices and Index.

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark—a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large 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 what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code.

https://www.wiley.com/en-be/Machine+Learning+with+Spark+and+Python%3A+Essential+Techniques+for+Predictive+Analytics%2C+2nd+Edition-p-9781119561934

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