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This talk explores forgetting and relearning as ways humans and machine learning models adapt to change. It also discusses production model adaptation and how research on the brain may inform machine learning.
Syllabus
Intro
Remember, learn, forget
Testing the hypothesis
What about ML?
How do models forget?
MLOps
Training & deploying models
What about tomorrow?
Learning from studying our brains
Resources
Outro
Taught by
GOTO Conferences