[Jlab-scicomp-briefs] AI Lunch Series, 4-5PM, Wednesday, May 27, 2020

[Bryan Hess]

The AI Lunch Series will be hosting Dr. Jacob Montiel (LBNL) this Wednesday for a presentation on “Machine Learning for Data Streams with Python”. Additional information can be found at: https://www.jlab.org/AI/lunch_series/2020

4-5PM, Wednesday, May 27, 2020
Join with Bluejeans: https://bluejeans.com/274517153<https://urldefense.proofpoint.com/v2/url?u=https-3A__bluejeans.com_274517153&d=DwMFAg&c=CJqEzB1piLOyyvZjb8YUQw&r=LrIaDnhWER4_1UvMZUJkxA&m=Y1j3MOoYw29PqPaKKugXhP0QCVy5Pn9DkvZQLzUwIl8&s=tiewoytrJIXVvx47z3otMWo0H7Dwg7duM2HB_7Bq7Lk&e=>

Abstract: "As traditional "batch" learning is no match for today’s data deluge, a new field emerges — data stream mining. In stream learning, data is considered infinite and models are trained and updated continuously, thereby adapting to changes in the data. This talk provides an overview of data stream learning and introduces scikit-multiflow, an open-source Python framework to implement algorithms and perform experiments in the field of ML on evolving data streams."

If you have questions, contact tennant at jlab.org.
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