4shared - Math for Machine Learning by Pablo

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13:52

15 - LDA Example 1.mp4

13:52

mp4

22,786 KB

Pablo in Math for Machine Learning

22,786 KB

4 years ago

Pablo

01:50

53 - Classifying Test Points.mp4

01:50

mp4

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Pablo in Math for Machine Learning

2,840 KB

4 years ago

Pablo

00:44

09 - Linear Discriminant Analysis.mp4

00:44

mp4

967 KB

Pablo in Math for Machine Learning

967 KB

4 years ago

Pablo

02:09

64 - The Coefficients for the Soft Margin Hyperplane.mp4

02:09

mp4

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Pablo in Math for Machine Learning

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4 years ago

Pablo

01:34

17 - Summary Linear Discriminant Analysis.mp4

01:34

mp4

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Pablo in Math for Machine Learning

5,486 KB

4 years ago

Pablo

00:36

25 - Artificial Neural Networks.mp4

00:36

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Pablo in Math for Machine Learning

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4 years ago

Pablo

06:42

39 - Proof 1.mp4

06:42

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Pablo in Math for Machine Learning

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4 years ago

Pablo

08:57

20 - Estimating the Posterior Probability Function.mp4

08:57

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Pablo in Math for Machine Learning

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4 years ago

Pablo

05:44

38 - Definitions of Separating Hyperplane and Margin.mp4

05:44

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Pablo in Math for Machine Learning

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4 years ago

Pablo

00:31

56 - Summary Maximal Margin Classifier.mp4

00:31

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Pablo in Math for Machine Learning

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4 years ago

Pablo

11:41

55 - Maximal Margin Classifier Example 2.mp4

11:41

mp4

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Pablo in Math for Machine Learning

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4 years ago

Pablo

01:47

36 - Summary Artificial Neural Networks.mp4

01:47

mp4

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Pablo in Math for Machine Learning

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4 years ago

Pablo

02:46

02 - Course Introduction.mp4

02:46

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Pablo in Math for Machine Learning

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4 years ago

Pablo

11:25

04 - The Least Squares Method.mp4

11:25

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Pablo in Math for Machine Learning

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4 years ago

Pablo

01:36

65 - Classifying Test Points (Soft Margin).mp4

01:36

mp4

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Pablo in Math for Machine Learning

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4 years ago

Pablo

07:33

03 - Linear Regression.mp4

07:33

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Pablo in Math for Machine Learning

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4 years ago

Pablo

00:44

61 - Definition of Support Vector Classifier.mp4

00:44

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1,228 KB

Pablo in Math for Machine Learning

1,228 KB

4 years ago

Pablo

17:38

16 - LDA Example 2.mp4

17:38

mp4

30,290 KB

Pablo in Math for Machine Learning

30,290 KB

4 years ago

Pablo

14:53

67 - Support Vector Classifier Example 1.mp4

14:53

mp4

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Pablo in Math for Machine Learning

24,935 KB

4 years ago

Pablo

09:55

23 - Logistic Regression Example.mp4

09:55

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Pablo in Math for Machine Learning

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4 years ago

Pablo

04:52

44 - Proof 3.mp4

04:52

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Pablo in Math for Machine Learning

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4 years ago

Pablo

01:46

62 - A Convex Optimization Problem.mp4

01:46

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Pablo in Math for Machine Learning

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4 years ago

Pablo

03:42

10 - The Posterior Probability Functions.mp4

03:42

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Pablo in Math for Machine Learning

5,996 KB

4 years ago

Pablo

04:30

28 - Choosing Activation Functions.mp4

04:30

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Pablo in Math for Machine Learning

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4 years ago

Pablo

03:02

19 - Logistic Regression Model of the Posterior Probability Function.mp4

03:02

mp4

4,318 KB

Pablo in Math for Machine Learning

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4 years ago

Pablo

09:19

68 - Support Vector Classifier Example 2.mp4

09:19

mp4

16,122 KB

Pablo in Math for Machine Learning

16,122 KB

4 years ago

Pablo

02:29

37 - Maximal Margin Classifier.mp4

02:29

mp4

3,599 KB

Pablo in Math for Machine Learning

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4 years ago

Pablo

01:13

43 - Proof 2.mp4

01:13

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Pablo in Math for Machine Learning

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4 years ago

Pablo

01:01

41 - Definition of Maximal Margin Classifier.mp4

01:01

mp4

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Pablo in Math for Machine Learning

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4 years ago

Pablo

02:27

30 - Error Function for Regression.mp4

02:27

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Pablo in Math for Machine Learning

3,425 KB

4 years ago

Pablo