How to: Parallel Programming in R and Python [Video]

Learn how to utilize multi-core, high-memory machines to dramatically accelerate your computations in R and Python, without any complex or time-consuming setup.

You'll learn:

  1. How to determine whether your tasks can be parallelized on multi-core, high-memory machines
  2. General purpose techniques in R and Python for parallel programming
  3. Specific applications of parallel programming in a machine learning context, including how to speed up cross-validation, grid search, and random forest calculations
  4. Finally, how to use Domino for easy access to powerful multi-core machines where you can utilize these techniques.

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Tags: ParallelProgramming, data, datascience, machinelearning, python, rstats


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