Tom Augspurger: Scalable Machine Learning with Dask | PyData New York 2019

Python has a great ecosystem for machine learning, especially on relatively small datasets processed on a single machine. We'll use Dask to scale libraries like NumPy, pandas, and scikit-learn to larger datasets and larger problems. We'll see that problems can be compute- or memory-bound (or both). We'll see strategies for dealing with these, using a cluster to parallelize our computation.

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