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Mastering Machine Learning with Spark 2.x

Alex Tellez, Max Pumperla, Michal Malohlava ★ 3.6/5 · ItemOracle Score Mid-Range

$58 USD
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Mastering Machine Learning with Spark 2.x: Harness the potential of machine learning, through spark

A guide to leveraging Spark for machine learning, combining data processing with scalable ML techniques. This book provides practical approaches to ML workflows in Spark. Customer insight: mixed signals; positive resonance on practical applicability

Highlights

  • spark-based ML focus
  • scalable ML pipelines
  • practical ML workflows

Pros

  • clear focus on Spark-based ML
  • practical approaches to ML workflows
  • specialized for data processing environments

Cons

  • limited customer insight data
  • no features listed
  • no current edition details provided

Best For

  • build scalable ML pipelines with spark
  • apply machine learning to big data
  • data processing and model training
  • feature engineering in spark
  • eval and tune ML models at scale
  • integrate ML workflows into data apps

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