Python Programming Learning Circle
Dec 14, 2020 · Artificial Intelligence
Notes on Feasibility, Hoeffding Inequality, and VC Theory from Lin Xuantian's Machine Learning Foundations Course
These concise notes summarize key concepts from Professor Lin Xuantian's Machine Learning Foundations course, covering feasibility of learning, Hoeffding and multi‑bin Hoeffding inequalities, VC bounds, dichotomies, growth and bounding functions, VC dimension, and their implications for model and sample complexity.
GeneralizationHoeffding InequalityStatistical Learning
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