FreeCoursesOnline Me Stone River eLearning Math for Machine Learning FCO

FreeCoursesOnline Me Stone River eLearning Math for Machine Learning FCO

Name	[FreeCoursesOnline.Me] [Stone River eLearning] Math for Machine Learning - [FCO]	DOWNLOAD Copy Link
Total Size	546.6 MB
Total Files	79
Hash	049F9792733CA74149FBD439DEDBEFCD218ABBAD

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01.Course Promo.mp4	4.9 MB
02.Course Introduction.mp4	5.4 MB
03.Linear Regression.mp4	11.5 MB
04.The Least Squares Method.mp4	18.4 MB
05.Linear Algebra Solution to Least Squares Problem.mp4	18.8 MB
06.Example Linear Regression.mp4	6.3 MB
07.Summary Linear Regression.mp4	1.7 MB
08.Classification.mp4	1.7 MB
09.Linear Discriminant Analysis.mp4	990.3 KB
10.The Posterior Probability Functions.mp4	5.5 MB
11.Modelling the Posterior Probability Functions.mp4	11.9 MB
12.Linear Discriminant Functions.mp4	8.8 MB
13.Estimating the Linear Discriminant Functions.mp4	9.0 MB
14.Classifying Data Points Using Linear Discriminant Functions.mp4	5.2 MB
15.LDA Example 1.mp4	21.1 MB
16.LDA Example 2.mp4	28.2 MB
17.Summary Linear Discriminant Analysis.mp4	5.1 MB
18.Logistic Regression.mp4	1.7 MB
19.Logistic Regression Model of the Posterior Probability Function.mp4	4.4 MB
20.Estimating the Posterior Probability Function.mp4	13.5 MB
21.The Multivariate Newton-Raphson Method.mp4	17.4 MB
22.Maximizing the Log-Likelihood Function.mp4	22.5 MB
23.Logistic Regression Example.mp4	15.0 MB
24.Summary Logistic Regression.mp4	3.9 MB
25.Artificial Neural Networks.mp4	797.2 KB
26.Neural Network Model of the Output Functions.mp4	19.7 MB
27.Forward Propagation.mp4	1.7 MB
28.Choosing Activation Functions.mp4	6.2 MB
29.Estimating the Output Functions.mp4	3.2 MB
30.Error Function for Regression.mp4	3.5 MB
31.Error Function for Binary Classification.mp4	8.5 MB
32.Error Function for Multiclass Classification.mp4	6.6 MB
33.Minimizing the Error Function Using Gradient Descent.mp4	9.7 MB
34.Backpropagation Equations.mp4	6.4 MB
35.Summary of Backpropagation.mp4	2.4 MB
36.Summary Artificial Neural Networks.mp4	5.3 MB
37.Maximal Margin Classifier.mp4	3.3 MB
38.Definitions of Separating Hyperplane and Margin.mp4	8.9 MB
39.Proof 1.mp4	11.4 MB
40.Maximizing the Margin.mp4	5.6 MB
41.Definition of Maximal Margin Classifier.mp4	1.6 MB
42.Reformulating the Optimization Problem.mp4	12.8 MB
43.Proof 2.mp4	1.9 MB
44.Proof 3.mp4	7.6 MB
45.Proof 4.mp4	13.6 MB
46.Proof 5.mp4	8.5 MB
47.Solving the Convex Optimization Problem.mp4	1.7 MB
48.KKT Conditions.mp4	2.9 MB
49.Primal and Dual Problems.mp4	2.2 MB
50.Solving the Dual Problem.mp4	5.0 MB
51.The Coefficients for the Maximal Margin Hyperplane.mp4	693.3 KB
52.The Support Vectors.mp4	1.4 MB
53.Classifying Test Points.mp4	2.6 MB
54.Maximal Margin Classifier Example 1.mp4	15.1 MB
55.Maximal Margin Classifier Example 2.mp4	17.5 MB
56.Summary Maximal Margin Classifier.mp4	1.7 MB
57.Support Vector Classifier.mp4	5.6 MB
58.Slack Variables Points on Correct Side of Hyperplane.mp4	5.7 MB
59.Slack Variables Points on Wrong Side of Hyperplane.mp4	2.3 MB
60.Formulating the Optimization Problem.mp4	5.7 MB
61.Definition of Support Vector Classifier.mp4	1.3 MB
62.A Convex Optimization Problem.mp4	3.5 MB
63.Solving the Convex Optimization Problem (Soft Margin).mp4	9.9 MB
64.The Coefficients for the Soft Margin Hyperplane.mp4	3.1 MB
65.Classifying Test Points (Soft Margin).mp4	2.5 MB
66.The Support Vectors (Soft Margin).mp4	2.4 MB
67.Support Vector Classifier Example 1.mp4	23.1 MB
68.Support Vector Classifier Example 2.mp4	15.0 MB
69.Summary Support Vector Classifier.mp4	2.0 MB
70.Support Vector Machine Classifier.mp4	1.7 MB
71.Enlarging the Feature Space.mp4	8.6 MB
72.The Kernel Trick.mp4	7.2 MB
73.Summary Support Vector Machine Classifier.mp4	3.6 MB
Discuss.FreeTutorials.Us.html	169.7 KB
FreeCoursesOnline.Me.html	110.9 KB
FreeTutorials.Eu.html	104.7 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
Total files 79