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[FreeCoursesOnline.Me] [Stone River eLearning] Math for Machine Learning - [FCO]
- Date: 2026-07-09
- Size: 521 MB
- Files: 79
File Name
Size
01.Course Promo.mp4
4.7 MB
02.Course Introduction.mp4
5.2 MB
03.Linear Regression.mp4
11 MB
04.The Least Squares Method.mp4
18 MB
05.Linear Algebra Solution to Least Squares Problem.mp4
18 MB
06.Example Linear Regression.mp4
6.0 MB
07.Summary Linear Regression.mp4
1.6 MB
08.Classification.mp4
1.7 MB
09.Linear Discriminant Analysis.mp4
967 kB
10.The Posterior Probability Functions.mp4
5.3 MB
11.Modelling the Posterior Probability Functions.mp4
11 MB
12.Linear Discriminant Functions.mp4
8.4 MB
13.Estimating the Linear Discriminant Functions.mp4
8.6 MB
14.Classifying Data Points Using Linear Discriminant Functions.mp4
4.9 MB
15.LDA Example 1.mp4
20 MB
16.LDA Example 2.mp4
27 MB
17.Summary Linear Discriminant Analysis.mp4
4.8 MB
18.Logistic Regression.mp4
1.6 MB
19.Logistic Regression Model of the Posterior Probability Function.mp4
4.2 MB
20.Estimating the Posterior Probability Function.mp4
13 MB
21.The Multivariate Newton-Raphson Method.mp4
17 MB
22.Maximizing the Log-Likelihood Function.mp4
21 MB
23.Logistic Regression Example.mp4
14 MB
24.Summary Logistic Regression.mp4
3.7 MB
25.Artificial Neural Networks.mp4
779 kB
26.Neural Network Model of the Output Functions.mp4
19 MB
27.Forward Propagation.mp4
1.6 MB
28.Choosing Activation Functions.mp4
5.9 MB
29.Estimating the Output Functions.mp4
3.0 MB
30.Error Function for Regression.mp4
3.3 MB
31.Error Function for Binary Classification.mp4
8.1 MB
32.Error Function for Multiclass Classification.mp4
6.3 MB
33.Minimizing the Error Function Using Gradient Descent.mp4
9.2 MB
34.Backpropagation Equations.mp4
6.1 MB
35.Summary of Backpropagation.mp4
2.3 MB
36.Summary Artificial Neural Networks.mp4
5.0 MB
37.Maximal Margin Classifier.mp4
3.1 MB
38.Definitions of Separating Hyperplane and Margin.mp4
8.4 MB
39.Proof 1.mp4
11 MB
40.Maximizing the Margin.mp4
5.3 MB
41.Definition of Maximal Margin Classifier.mp4
1.5 MB
42.Reformulating the Optimization Problem.mp4
12 MB
43.Proof 2.mp4
1.8 MB
44.Proof 3.mp4
7.3 MB
45.Proof 4.mp4
13 MB
46.Proof 5.mp4
8.1 MB
47.Solving the Convex Optimization Problem.mp4
1.7 MB
48.KKT Conditions.mp4
2.7 MB
49.Primal and Dual Problems.mp4
2.1 MB
50.Solving the Dual Problem.mp4
4.8 MB
51.The Coefficients for the Maximal Margin Hyperplane.mp4
677 kB
52.The Support Vectors.mp4
1.3 MB
53.Classifying Test Points.mp4
2.5 MB
54.Maximal Margin Classifier Example 1.mp4
14 MB
55.Maximal Margin Classifier Example 2.mp4
17 MB
56.Summary Maximal Margin Classifier.mp4
1.6 MB
57.Support Vector Classifier.mp4
5.3 MB
58.Slack Variables Points on Correct Side of Hyperplane.mp4
5.5 MB
59.Slack Variables Points on Wrong Side of Hyperplane.mp4
2.2 MB
60.Formulating the Optimization Problem.mp4
5.5 MB
61.Definition of Support Vector Classifier.mp4
1.2 MB
62.A Convex Optimization Problem.mp4
3.3 MB
63.Solving the Convex Optimization Problem (Soft Margin).mp4
9.4 MB
64.The Coefficients for the Soft Margin Hyperplane.mp4
2.9 MB
65.Classifying Test Points (Soft Margin).mp4
2.4 MB
66.The Support Vectors (Soft Margin).mp4
2.3 MB
67.Support Vector Classifier Example 1.mp4
22 MB
68.Support Vector Classifier Example 2.mp4
14 MB
69.Summary Support Vector Classifier.mp4
1.9 MB
70.Support Vector Machine Classifier.mp4
1.7 MB
71.Enlarging the Feature Space.mp4
8.2 MB
72.The Kernel Trick.mp4
6.9 MB
73.Summary Support Vector Machine Classifier.mp4
3.4 MB
Discuss.FreeTutorials.Us.html
166 kB
FreeCoursesOnline.Me.html
108 kB
FreeTutorials.Eu.html
102 kB
How you can help Team-FTU.txt
259 B
[TGx]Downloaded from torrentgalaxy.org.txt
524 B
Torrent Downloaded From GloDls.to.txt
84 B