Distributed and Scalable Machine Learning [Webinar]

Posted by365Data SciencePosted inData Science News
Mike McCarty and Gil Forsyth work at the Capital One Center for Machine Learning, where they are building internal PyData libraries that scale with Dask and RAPIDS. For this webinar, Feb 23 @ 2 pm PST, 5pm EST, they’ll join Hugo Bowne-Anderson and Matthew Rocklin to discuss their journey to scale data science and machine learning in Python.

Originally from KDnuggets https://ift.tt/3s094GA

source https://365datascience.weebly.com/the-best-data-science-blog-2020/distributed-and-scalable-machine-learning-webinar

Published by 365Data Science

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