[ESIP-all] [08/22 8-9 am PT] AI Reproducibility Webinar - Strategies for Machine Learning Reproducibility

[Douglas Rao - NOAA Affiliate]

Dear colleagues,

You are cordially invited to the first AI reproducibility webinar hosted by
FAIR in ML, AI-Readiness & Reproducibility (FARR) Research Coordination
Network (https://www.farr-rcn.org/). See the information below and the
attached flyer.

On *August 22nd, 2023, at 8 am PT **(15:00 UTC)*, FARR
<https://www.farr-rcn.org/> will kick off its AI reproducibility webinar
series with a focus on ML reproducibility. The event titled, "*Strategies
for Machine Learning Reproducibility*", will be presented by *Dr. Odd Erik
Gundersen* and *Kevin Coakley*. Major takeaways will include valuable
insights and practical ideas to help achieve reproducibility in ML and a
solid understanding of common pitfalls that can undermine the
reproducibility of research. You can register for this event here
<https://ucsd.zoom.us/meeting/register/tJMpdeqgrzorGN0xA2xjgplDMBS0d5IhZL69>
!

Best,
Douglas (on behalf of the FARR project team)

-- 
Douglas Rao (he/him/his)
Research Scientist
North Carolina State University <http://www.ncsu.edu>
Cooperative Institute for Satellite Earth System Studies (CISESS)
<http://www.ncics.org>
NOAA National Centers for Environmental Information
<http://www.ncei.noaa.gov>
151 Patton Ave. Asheville, NC 28801
+1.828.271.4903

I work on a flexible work schedule and across a number of time zones.
Apologies for any out of hours email.

"Every individual matters. Every individual has a role to play. Every
individual makes a difference.” – *Dr. Jane Goodall*
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