04:42
Summary and Thank you | ML-005 Lecture 19 | Stanford University | Andrew Ng
01:03:51
Large Scale Machine Learning | ML-005 Lecture 17 | Stanford University | Andrew Ng
51:52
Application Example Photo OCR | ML-005 Lecture 18 | Stanford University | Andrew Ng
58:05
Recommender Systems | ML-005 Lecture 16 | Stanford University | Andrew Ng
01:37:35
Support Vector Machines | ML-005 Lecture 12 | Stanford University | Andrew Ng
01:07:08
Dimensionality Reduction | ML-005 Lecture 14 | Stanford University | Andrew Ng
01:30:57
Anomaly Detection | ML-005 Lecture 15 | Stanford University | Andrew Ng
39:04
Clustering | ML-005 Lecture 13 | Stanford University | Andrew Ng
59:32
Machine Learning System Design | ML-005 Lecture 11 | Stanford University | Andrew Ng
01:03:13
Applying Machine Learning | ML-005 Lecture 10 | Stanford University | Andrew Ng
01:17:35
Neural Networks Learning | ML-005 Lecture 9 | Stanford University | Andrew Ng
01:02:36
Neural Networks Representation | ML-005 Lecture 8 | Stanford University | Andrew Ng
39:07
Regularization | ML-005 Lecture 7 | Stanford University | Andrew Ng
01:12:24
Logistic Regression | ML-005 Lecture 6 | Stanford University | Andrew Ng 01 Classification 8 min
01:23:16
Octave Tutorial | ML-005 Lecture 5 | Stanford University | Andrew Ng
01:01:12
Linear Regression with Multiple Variables | ML-005 Lecture 4 | Stanford University | Andrew Ng
01:00:41
Linear Algebra Review | ML-005 Lecture 3 | Stanford University | Andrew Ng
01:15:50
Linear Regression with One Variable | ML-005 Lecture 2 | Stanford University | Andrew Ng
40:51
Introduction to Machine Learning | ML-005 Lecture 1 | Stanford University | Andrew Ng
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