Learning From Data
Yaser Abu-Mostafa's famed Caltech course on statistical learning theory: Hoeffding's inequality, VC dimension, bias-variance tradeoff, regularization, support vector machines, and neural nets.
Yaser Abu-Mostafa
Professor of Electrical Engineering and Computer Science
Courses by Yaser Abu-Mostafa
Complete university lecture series taught by Yaser Abu-Mostafa.
Study paths featuring Yaser Abu-Mostafa
1
7 steps · 8h4 universities
Mathematical Foundations of Machine Learning
Linear geometry, convex duality, statistical learning, and deep optimization
MIT · Stanford University · Caltech +1
7 curated lecturesOpen path →
All lectures by Yaser Abu-Mostafa
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Chapters · Duration
CS 156 · Lec 1 · Yaser Abu-Mostafa · Caltech
1:21:27
CS 156 · Lec 7 · Yaser Abu-Mostafa · Caltech
1:13:31
CS 156 · Lec 2 · Yaser Abu-Mostafa · Caltech
1:16:48
CS 156 · Lec 10 · Yaser Abu-Mostafa · Caltech
1:25:16
CS 156 · Lec 3 · Yaser Abu-Mostafa · Caltech
1:19:44
CS 156 · Lec 14 · Yaser Abu-Mostafa · Caltech
1:14:16
CS 156 · Lec 5 · Yaser Abu-Mostafa · Caltech
1:16:57
CS 156 · Lec 15 · Yaser Abu-Mostafa · Caltech
1:18:19
CS 156 · Lec 6 · Yaser Abu-Mostafa · Caltech
1:18:11
CS 156 · Lec 16 · Yaser Abu-Mostafa · Caltech
1:22:08
CS 156 · Lec 8 · Yaser Abu-Mostafa · Caltech
1:16:50
CS 156 · Lec 9 · Yaser Abu-Mostafa · Caltech
1:27:14
CS 156 · Lec 12 · Yaser Abu-Mostafa · Caltech
1:15:14
CS 156 · Lec 11 · Yaser Abu-Mostafa · Caltech
1:19:49
CS 156 · Lec 13 · Yaser Abu-Mostafa · Caltech
1:26:12
CS 156 · Lec 18 · Yaser Abu-Mostafa · Caltech
1:09:28
CS 156 · Lec 17 · Yaser Abu-Mostafa · Caltech
1:16:18
CS 156 · Lec 4 · Yaser Abu-Mostafa · Caltech
1:18:22