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:

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