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This book provides a practical guide to distributed machine learning using Apache Spark and PySpark. It explains how to transition machine learning workflows from Pandas and Scikit-Learn to distributed environments, covering data processing, model development, and scalable machine learning techniques.

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245: $a: Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn
245: $b:
082: $a:
100: $a: Abdelaziz Testas
650: $a: Computer Science
250: $a: 1st
440: $v:
250: $b: Apex Press​
250: $c: 2023
020: $a: 978-1-4842-9750-6
300: $a: 500