[Stone River eLearning] Math for Machine Learning - [FCO]

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[Stone River eLearning] Math for Machine Learning - [FCO]

Torrent Contents Size: 521.3 MB

[Stone River eLearning] Math for Machine Learning - [FCO]
▼ show more 64 files
01.Course Promo.mp4
MP4
4.7 MB
02.Course Introduction.mp4
MP4
5.2 MB
03.Linear Regression.mp4
MP4
11 MB
04.The Least Squares Method.mp4
MP4
17.5 MB
05.Linear Algebra Solution to Least Squares Problem.mp4
MP4
17.9 MB
06.Example Linear Regression.mp4
MP4
6 MB
07.Summary Linear Regression.mp4
MP4
1.6 MB
08.Classification.mp4
MP4
1.7 MB
09.Linear Discriminant Analysis.mp4
MP4
967.1 KB
10.The Posterior Probability Functions.mp4
MP4
5.3 MB
11.Modelling the Posterior Probability Functions.mp4
MP4
11.3 MB
12.Linear Discriminant Functions.mp4
MP4
8.4 MB
13.Estimating the Linear Discriminant Functions.mp4
MP4
8.6 MB
14.Classifying Data Points Using Linear Discriminant Functions.mp4
MP4
4.9 MB
15.LDA Example 1.mp4
MP4
20.2 MB
16.LDA Example 2.mp4
MP4
26.9 MB
17.Summary Linear Discriminant Analysis.mp4
MP4
4.8 MB
18.Logistic Regression.mp4
MP4
1.6 MB
19.Logistic Regression Model of the Posterior Probability Function.mp4
MP4
4.2 MB
20.Estimating the Posterior Probability Function.mp4
MP4
12.9 MB
21.The Multivariate Newton-Raphson Method.mp4
MP4
16.6 MB
22.Maximizing the Log-Likelihood Function.mp4
MP4
21.4 MB
23.Logistic Regression Example.mp4
MP4
14.3 MB
24.Summary Logistic Regression.mp4
MP4
3.7 MB
25.Artificial Neural Networks.mp4
MP4
778.6 KB
26.Neural Network Model of the Output Functions.mp4
MP4
18.8 MB
27.Forward Propagation.mp4
MP4
1.6 MB
28.Choosing Activation Functions.mp4
MP4
5.9 MB
29.Estimating the Output Functions.mp4
MP4
3 MB
30.Error Function for Regression.mp4
MP4
3.3 MB
31.Error Function for Binary Classification.mp4
MP4
8.1 MB
32.Error Function for Multiclass Classification.mp4
MP4
6.3 MB
33.Minimizing the Error Function Using Gradient Descent.mp4
MP4
9.2 MB
34.Backpropagation Equations.mp4
MP4
6.1 MB
35.Summary of Backpropagation.mp4
MP4
2.3 MB
36.Summary Artificial Neural Networks.mp4
MP4
5 MB
37.Maximal Margin Classifier.mp4
MP4
3.1 MB
38.Definitions of Separating Hyperplane and Margin.mp4
MP4
8.4 MB
39.Proof 1.mp4
MP4
10.8 MB
40.Maximizing the Margin.mp4
MP4
5.3 MB
41.Definition of Maximal Margin Classifier.mp4
MP4
1.5 MB
42.Reformulating the Optimization Problem.mp4
MP4
12.2 MB
43.Proof 2.mp4
MP4
1.8 MB
44.Proof 3.mp4
MP4
7.3 MB
45.Proof 4.mp4
MP4
13 MB
46.Proof 5.mp4
MP4
8.1 MB
47.Solving the Convex Optimization Problem.mp4
MP4
1.7 MB
48.KKT Conditions.mp4
MP4
2.7 MB
49.Primal and Dual Problems.mp4
MP4
2.1 MB
50.Solving the Dual Problem.mp4
MP4
4.8 MB
51.The Coefficients for the Maximal Margin Hyperplane.mp4
MP4
677 KB
52.The Support Vectors.mp4
MP4
1.3 MB
53.Classifying Test Points.mp4
MP4
2.5 MB
54.Maximal Margin Classifier Example 1.mp4
MP4
14.4 MB
55.Maximal Margin Classifier Example 2.mp4
MP4
16.7 MB
56.Summary Maximal Margin Classifier.mp4
MP4
1.6 MB
57.Support Vector Classifier.mp4
MP4
5.3 MB
58.Slack Variables Points on Correct Side of Hyperplane.mp4
MP4
5.5 MB
59.Slack Variables Points on Wrong Side of Hyperplane.mp4
MP4
2.2 MB
60.Formulating the Optimization Problem.mp4
MP4
5.5 MB
61.Definition of Support Vector Classifier.mp4
MP4
1.2 MB
62.A Convex Optimization Problem.mp4
MP4
3.3 MB
63.Solving the Convex Optimization Problem (Soft Margin).mp4
MP4
9.4 MB
64.The Coefficients for the Soft Margin Hyperplane.mp4
MP4
2.9 MB
65.Classifying Test Points (Soft Margin).mp4
MP4
2.4 MB
66.The Support Vectors (Soft Margin).mp4
MP4
2.3 MB
67.Support Vector Classifier Example 1.mp4
MP4
22.1 MB
68.Support Vector Classifier Example 2.mp4
MP4
14.3 MB
69.Summary Support Vector Classifier.mp4
MP4
1.9 MB
70.Support Vector Machine Classifier.mp4
MP4
1.7 MB
71.Enlarging the Feature Space.mp4
MP4
8.2 MB
72.The Kernel Trick.mp4
MP4
6.9 MB
73.Summary Support Vector Machine Classifier.mp4
MP4
3.4 MB
Discuss.FreeTutorials.Us.html
HTML
165.7 KB
FreeCoursesOnline.Me.html
HTML
108.3 KB
FreeTutorials.Eu.html
HTML
102.2 KB
How you can help Team-FTU.txt
TXT
307.2 B
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102.4 B
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