4shared - Math for Machine Learning ng Hassan

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Patunayan na hindi ka robot

01:07

73 - Summary Support Vector Machine Classifier.mp4

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mp4

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Hassan sa Math for Machine Learning

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04:24

72 - The Kernel Trick.mp4

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05:23

71 - Enlarging the Feature Space.mp4

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01:20

70 - Support Vector Machine Classifier.mp4

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Hassan

00:41

69 - Summary Support Vector Classifier.mp4

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mp4

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Hassan

09:19

68 - Support Vector Classifier Example 2.mp4

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14:53

67 - Support Vector Classifier Example 1.mp4

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01:37

66 - The Support Vectors (Soft Margin).mp4

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01:36

65 - Classifying Test Points (Soft Margin).mp4

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02:09

64 - The Coefficients for the Soft Margin Hyperplane.mp4

02:09

mp4

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06:38

63 - Solving the Convex Optimization Problem (Soft Margin).mp4

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01:46

62 - A Convex Optimization Problem.mp4

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00:44

61 - Definition of Support Vector Classifier.mp4

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03:52

60 - Formulating the Optimization Problem.mp4

03:52

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01:37

59 - Slack Variables Points on Wrong Side of Hyperplane.mp4

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03:47

58 - Slack Variables Points on Correct Side of Hyperplane.mp4

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mp4

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Hassan

03:54

57 - Support Vector Classifier.mp4

03:54

mp4

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00:31

56 - Summary Maximal Margin Classifier.mp4

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11:41

55 - Maximal Margin Classifier Example 2.mp4

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09:50

54 - Maximal Margin Classifier Example 1.mp4

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Hassan

01:50

53 - Classifying Test Points.mp4

01:50

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Hassan

00:58

52 - The Support Vectors.mp4

00:58

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Hassan

00:30

51 - The Coefficients for the Maximal Margin Hyperplane.mp4

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mp4

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03:31

50 - Solving the Dual Problem.mp4

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01:24

49 - Primal and Dual Problems.mp4

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01:24

48 - KKT Conditions.mp4

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01:05

47 - Solving the Convex Optimization Problem.mp4

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05:10

46 - Proof 5.mp4

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08:41

45 - Proof 4.mp4

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04:52

44 - Proof 3.mp4

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