Continue exploring the mistake bound model in machine learning through detailed examples and practical applications of the Halving bound in this 44-minute lecture from the University of Utah Data Science program. Gain deeper insights into online learning concepts while working through demonstrations that illustrate how the Halving bound principles can be effectively implemented in real-world scenarios.
Mistake Bound Learning and Halving Bound Applications - Lecture 8a
Overview
Syllabus
Lecture 8a: Mistake bound learning (continued)
Taught by
UofU Data Science
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