Machine Learning with Spark

Create scalable machine learning applications to power a modern data-driven business using Spark

Nick Pentreath

February 2015

What You Will Learn

• Create your first Spark program in Scala, Java, and Python
• Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2
• Access public machine learning datasets and use Spark to load, process, clean, and transform data
• Use Spark's machine learning library to implement programs utilizing well-known machine learning models including collaborative filtering, classification, regression, clustering, and dimensionality reduction
• Write Spark functions to evaluate the performance of your machine learning models
• Deal with large-scale text data, including feature extraction and using text data as input to your machine learning models
• Explore online learning methods and use Spark Streaming for online learning and model evaluation
  

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