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Machine Learning: Lecture 9a: On representations and learning
Description:
Explore a 22-minute lecture examining how hypothesis representation choices impact the learning process, completing the discussion on online learning in machine learning systems. Delve into the relationship between different representational approaches and their effects on learning outcomes, gaining insights into optimizing machine learning model design and implementation.

Machine Learning: Representations and Learning in Online Systems - Lecture 9

UofU Data Science
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