Caltech Machine Learning Lecture 9
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Delves into theory, covering.
Caltech's machine learning course (by professor yaser abumostafa) lecture 9. Lecture 9 of 18 caltech's machine learning. Lecture by professor andrew ng for machine learning (cs 229) in the stanford computer science department.
Feb 2, 2016 caltech. Error bounds for infinite hypothesis spaces, vapnik–chervonenkis (vc) dimension, rademacher complexity lecturer. A quick tour of machinelearning and statistical tools.
Logistic regression, maximum likelihood, and gradient descent. Machine learning tutorial caltech lecture 9 the linear model ii. 10601 machine learning spring 2015 recitation 9.
Svm, logistic regression, evaluation metrics. 10701 machine learning fall 2014 lecture 9. The linear model ii more about models.
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