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[Stone River eLearning] Math for Machine Learning ...


[Stone River eLearning] Math for Machine Learning - [FCO] Torrent content (File list)
01.Course Promo.mp4 4.7 MB
02.Course Introduction.mp4 5.2 MB
03.Linear Regression.mp4 11.0 MB
04.The Least Squares Method.mp4 17.5 MB
05.Linear Algebra Solution to Least Squares Problem.mp4 17.9 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 967.1 KB
10.The Posterior Probability Functions.mp4 5.3 MB
11.Modelling the Posterior Probability Functions.mp4 11.3 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 20.2 MB
16.LDA Example 2.mp4 26.9 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 12.9 MB
21.The Multivariate Newton-Raphson Method.mp4 16.6 MB
22.Maximizing the Log-Likelihood Function.mp4 21.4 MB
23.Logistic Regression Example.mp4 14.3 MB
24.Summary Logistic Regression.mp4 3.7 MB
25.Artificial Neural Networks.mp4 778.6 KB
26.Neural Network Model of the Output Functions.mp4 18.8 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 10.8 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 12.2 MB
43.Proof 2.mp4 1.8 MB
44.Proof 3.mp4 7.3 MB
45.Proof 4.mp4 13.0 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 677.0 KB
52.The Support Vectors.mp4 1.3 MB
53.Classifying Test Points.mp4 2.5 MB
54.Maximal Margin Classifier Example 1.mp4 14.4 MB
55.Maximal Margin Classifier Example 2.mp4 16.7 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 22.1 MB
68.Support Vector Classifier Example 2.mp4 14.3 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 165.7 KB
FreeCoursesOnline.Me.html 108.3 KB
FreeTutorials.Eu.html 102.2 KB
How you can help Team-FTU.txt 0.3 KB
[TGx]Downloaded from torrentgalaxy.org.txt 0.5 KB
Torrent Downloaded From GloDls.to.txt 0.1 KB



  • Torrent indexed: 6 years

  • Torrent updated: Friday 11th of January 2019 12:00:20 PM
  • Torrent hash: 049F9792733CA74149FBD439DEDBEFCD218ABBAD

  • Torrent size: 521.3 MB

  • Torrent category: Other




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