Description:
Learn how to quantify the machine learning process by exploring methods to determine the number of examples required for successful hypothesis discovery in this 27-minute lecture from the University of Utah's Data Science program, complete with detailed explanations and supplementary materials available through the course website.
How Good is a Learning Algorithm? Quantifying the Learning Process - Lecture 7B
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#Computer Science
#Machine Learning
#Mathematics
#Statistics & Probability
#Hypothesis Testing
#Computational Learning Theory
#Statistical Learning Theory
#Sample Complexity
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