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UID:377@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20261116T090000
DTEND;TZID=America/Los_Angeles:20261119T120000
DTSTAMP:20261009T161820Z
URL:https://escience.washington.edu/events/ai-abcs-3/
SUMMARY:AI ABCs
DESCRIPTION:The eScience Institute is offering a 4-day workshop on introduc
 tory artificial intelligence (AI) and machine learning (ML) methods for st
 ructured data. The course will use example datasets to demonstrate a varie
 ty of tools for exploring structured data\, such as principal component an
 alysis\, regression\, random forests\, and neural networks in Python using
  Scikit-learn and PyTorch. Large language models such as ChatGPT will not 
 be covered.\n\nLearning about AI/ML can be initially overwhelming. The goa
 l of this workshop is to get researchers past that initial hump. The lesso
 ns will introduce researchers who have some programming experience but lit
 tle practice using AI/ML to the world of AI/ML data analysis. The course w
 ill survey several powerful AI/ML methods that are commonly used in resear
 ch using live-coded examples. Lessons will emphasize intuitive understandi
 ng of the methods and practical considerations rather than theoretical und
 erstanding.\n\nCourse Details\n\n 	When: Mon.–Thu. November 16th-19th\, 
 9:00 am–noon each day\n 	Where: WRF Data Science Studio (In Person / No 
 Online option)\n 	Registration: Required ($10)\; see this page for informa
 tion on registering. Registration is limited to 25 seats.\n 	Prerequisites
 : Students should be comfortable writing simple programs in Python and fam
 iliar with the NumPy and Pandas libraries. You do not need a background in
  math or statistics\, but familiarity with linear algebra and basic probab
 ility are helpful. See this page on how to prepare for the workshop.\n\nMo
 re Information: Course Website\, including the curriculum.
ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa
 ds/2025/09/ai-abcs-logo.001-Noah-C.-Benson.png
LOCATION:eScience Institute\, WRF Data Science Studio\, UW Physics/Astronom
 y Tower\, 6th Floor\, Seattle\, Washington\, 98195\, United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=WRF Data Science Studio\, U
 W Physics/Astronomy Tower\, 6th Floor\, Seattle\, Washington\, 98195\, Uni
 ted States;X-APPLE-RADIUS=100;X-TITLE=eScience Institute:geo:0,0
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