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