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[FreeCoursesOnline.Me] [Stone River eLearning] Math for Machine Learning - [FCO]
磁力链接/BT种子名称
[FreeCoursesOnline.Me] [Stone River eLearning] Math for Machine Learning - [FCO]
磁力链接/BT种子简介
种子哈希:
049f9792733ca74149fbd439dedbefcd218abbad
文件大小:
521.3M
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952
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收录时间:
2022-02-05
最近下载:
2025-12-23
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文件列表
16.LDA Example 2.mp4
28.2 MB
67.Support Vector Classifier Example 1.mp4
23.1 MB
22.Maximizing the Log-Likelihood Function.mp4
22.5 MB
15.LDA Example 1.mp4
21.1 MB
26.Neural Network Model of the Output Functions.mp4
19.7 MB
05.Linear Algebra Solution to Least Squares Problem.mp4
18.8 MB
04.The Least Squares Method.mp4
18.4 MB
55.Maximal Margin Classifier Example 2.mp4
17.5 MB
21.The Multivariate Newton-Raphson Method.mp4
17.4 MB
54.Maximal Margin Classifier Example 1.mp4
15.1 MB
68.Support Vector Classifier Example 2.mp4
15.0 MB
23.Logistic Regression Example.mp4
15.0 MB
45.Proof 4.mp4
13.6 MB
20.Estimating the Posterior Probability Function.mp4
13.5 MB
42.Reformulating the Optimization Problem.mp4
12.8 MB
11.Modelling the Posterior Probability Functions.mp4
11.9 MB
03.Linear Regression.mp4
11.5 MB
39.Proof 1.mp4
11.4 MB
63.Solving the Convex Optimization Problem (Soft Margin).mp4
9.9 MB
33.Minimizing the Error Function Using Gradient Descent.mp4
9.7 MB
13.Estimating the Linear Discriminant Functions.mp4
9.0 MB
38.Definitions of Separating Hyperplane and Margin.mp4
8.9 MB
12.Linear Discriminant Functions.mp4
8.8 MB
71.Enlarging the Feature Space.mp4
8.6 MB
31.Error Function for Binary Classification.mp4
8.5 MB
46.Proof 5.mp4
8.5 MB
44.Proof 3.mp4
7.6 MB
72.The Kernel Trick.mp4
7.2 MB
32.Error Function for Multiclass Classification.mp4
6.6 MB
34.Backpropagation Equations.mp4
6.4 MB
06.Example Linear Regression.mp4
6.3 MB
28.Choosing Activation Functions.mp4
6.2 MB
58.Slack Variables Points on Correct Side of Hyperplane.mp4
5.7 MB
60.Formulating the Optimization Problem.mp4
5.7 MB
57.Support Vector Classifier.mp4
5.6 MB
40.Maximizing the Margin.mp4
5.6 MB
10.The Posterior Probability Functions.mp4
5.5 MB
02.Course Introduction.mp4
5.4 MB
36.Summary Artificial Neural Networks.mp4
5.3 MB
14.Classifying Data Points Using Linear Discriminant Functions.mp4
5.2 MB
17.Summary Linear Discriminant Analysis.mp4
5.1 MB
50.Solving the Dual Problem.mp4
5.0 MB
01.Course Promo.mp4
4.9 MB
19.Logistic Regression Model of the Posterior Probability Function.mp4
4.4 MB
24.Summary Logistic Regression.mp4
3.9 MB
73.Summary Support Vector Machine Classifier.mp4
3.6 MB
30.Error Function for Regression.mp4
3.5 MB
62.A Convex Optimization Problem.mp4
3.5 MB
37.Maximal Margin Classifier.mp4
3.3 MB
29.Estimating the Output Functions.mp4
3.2 MB
64.The Coefficients for the Soft Margin Hyperplane.mp4
3.1 MB
48.KKT Conditions.mp4
2.9 MB
53.Classifying Test Points.mp4
2.6 MB
65.Classifying Test Points (Soft Margin).mp4
2.5 MB
66.The Support Vectors (Soft Margin).mp4
2.4 MB
35.Summary of Backpropagation.mp4
2.4 MB
59.Slack Variables Points on Wrong Side of Hyperplane.mp4
2.3 MB
49.Primal and Dual Problems.mp4
2.2 MB
69.Summary Support Vector Classifier.mp4
2.0 MB
43.Proof 2.mp4
1.9 MB
08.Classification.mp4
1.7 MB
70.Support Vector Machine Classifier.mp4
1.7 MB
47.Solving the Convex Optimization Problem.mp4
1.7 MB
18.Logistic Regression.mp4
1.7 MB
27.Forward Propagation.mp4
1.7 MB
07.Summary Linear Regression.mp4
1.7 MB
56.Summary Maximal Margin Classifier.mp4
1.7 MB
41.Definition of Maximal Margin Classifier.mp4
1.6 MB
52.The Support Vectors.mp4
1.4 MB
61.Definition of Support Vector Classifier.mp4
1.3 MB
09.Linear Discriminant Analysis.mp4
990.3 kB
25.Artificial Neural Networks.mp4
797.2 kB
51.The Coefficients for the Maximal Margin Hyperplane.mp4
693.3 kB
Discuss.FreeTutorials.Us.html
169.7 kB
FreeCoursesOnline.Me.html
110.9 kB
FreeTutorials.Eu.html
104.7 kB
[TGx]Downloaded from torrentgalaxy.org.txt
524 Bytes
How you can help Team-FTU.txt
259 Bytes
Torrent Downloaded From GloDls.to.txt
84 Bytes
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