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Video Lectures

oleh  Hassan java 4,632,729 KB • 941 fail-fail

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Unit 5 35 More Linear Regression.mp4
Unit 5 35 More Linear Regression.mp4
Unit 5 36 Quadratic Loss.mp4
Unit 5 36 Quadratic Loss.mp4
Unit 5 37 Answer.mp4
Unit 5 37 Answer.mp4
Unit 5 38 Problems with Linear Regression.mp4
Unit 5 38 Problems with Linear Regression.mp4
Unit 5 39 Answer.mp4
Unit 5 39 Answer.mp4
Unit 5 40 Linear Regression and Complexity Control.mp4
Unit 5 40 Linear Regression and Complexity Control.mp4
Unit 5 41 Minimizing Complicated Loss Functions.mp4
Unit 5 41 Minimizing Complicated Loss Functions.mp4
Unit 5 42 Answer.mp4
Unit 5 42 Answer.mp4
Unit 5 43 Question.mp4
Unit 5 43 Question.mp4
Unit 5 44 Answer.mp4
Unit 5 44 Answer.mp4
Unit 5 45 Question.mp4
Unit 5 45 Question.mp4
Unit 5 46 Answer.mp4
Unit 5 46 Answer.mp4
Unit 5 47 Gradient Descent Implementation.mp4
Unit 5 47 Gradient Descent Implementation.mp4
Unit 5 48 Perceptron.mp4
Unit 5 48 Perceptron.mp4
Unit 5 49 Answer and SVMs.mp4
Unit 5 49 Answer and SVMs.mp4
Unit 5 50 k Nearest Neighbors.mp4
Unit 5 50 k Nearest Neighbors.mp4
Unit 5 51 kNN Definition.mp4
Unit 5 51 kNN Definition.mp4
Unit 5 52 Answer.mp4
Unit 5 52 Answer.mp4
Unit 5 53 k as Smoothing Parameter.mp4
Unit 5 53 k as Smoothing Parameter.mp4
Unit 5 54 Problems with kNN.mp4
Unit 5 54 Problems with kNN.mp4
Unit 5 55 Congratulations.mp4
Unit 5 55 Congratulations.mp4
Unit 6 1 Unsupervised Learning.mp4
Unit 6 1 Unsupervised Learning.mp4
Unit 6 1a Answer.mp4
Unit 6 1a Answer.mp4
Unit 6 1b Question.mp4
Unit 6 1b Question.mp4
Unit 6 1c Answer.mp4
Unit 6 1c Answer.mp4
Unit 6 2 Terminology.mp4
Unit 6 2 Terminology.mp4
Unit 6 3 Google Street View and Clustering.mp4
Unit 6 3 Google Street View and Clustering.mp4
Unit 6 4 k-Means Clustering Example.mp4
Unit 6 4 k-Means Clustering Example.mp4
Unit 6 4a k-Means Algorithm.mp4
Unit 6 4a k-Means Algorithm.mp4
Unit 6 4b Answer.mp4
Unit 6 4b Answer.mp4

Lihat fail 30 video di folder Video Lectures 4shared saya

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