Udemy - Math for Machine Learning [720p - WEB HD - H264 - AAC] - 磁力管家

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种子哈希：26bb34caaab78e8413facd141ac05a46cfc5fc71
文档大小：599.0 MB
文档个数：74个文档
下载次数：592次
下载速度：极快
收录时间：2022-03-20
最近下载：2025-05-12
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Udemy - Math for Machine Learning [720p - WEB HD - H264 - AAC]的二维码

文档列表

16 - LDA Example 2.mp4 31.0 MB
67 - Support Vector Classifier Example 1.mp4 25.5 MB
22 - Maximizing the Log-Likelihood Function.mp4 24.6 MB
15 - LDA Example 1.mp4 23.3 MB
26 - Neural Network Model of the Output Functions.mp4 21.7 MB
05 - Linear Algebra Solution to Least Squares Problem.mp4 20.8 MB
04 - The Least Squares Method.mp4 20.2 MB
55 - Maximal Margin Classifier Example 2.mp4 19.4 MB
21 - The Multivariate Newton-Raphson Method.mp4 18.9 MB
54 - Maximal Margin Classifier Example 1.mp4 16.6 MB
23 - Logistic Regression Example.mp4 16.5 MB
68 - Support Vector Classifier Example 2.mp4 16.5 MB
45 - Proof 4.mp4 15.0 MB
42 - Reformulating the Optimization Problem.mp4 14.0 MB
20 - Estimating the Posterior Probability Function.mp4 13.5 MB
11 - Modelling the Posterior Probability Functions.mp4 13.1 MB
03 - Linear Regression.mp4 12.7 MB
39 - Proof 1.mp4 12.4 MB
63 - Solving the Convex Optimization Problem (Soft Margin).mp4 10.9 MB
33 - Minimizing the Error Function Using Gradient Descent.mp4 10.7 MB
13 - Estimating the Linear Discriminant Functions.mp4 10.0 MB
38 - Definitions of Separating Hyperplane and Margin.mp4 9.8 MB
12 - Linear Discriminant Functions.mp4 9.7 MB
31 - Error Function for Binary Classification.mp4 9.5 MB
71 - Enlarging the Feature Space.mp4 9.5 MB
46 - Proof 5.mp4 9.4 MB
44 - Proof 3.mp4 8.4 MB
72 - The Kernel Trick.mp4 7.9 MB
34 - Backpropagation Equations.mp4 7.1 MB
06 - Example Linear Regression.mp4 6.9 MB
28 - Choosing Activation Functions.mp4 6.9 MB
32 - Error Function for Multiclass Classification.mp4 6.6 MB
60 - Formulating the Optimization Problem.mp4 6.3 MB
58 - Slack Variables Points on Correct Side of Hyperplane.mp4 6.3 MB
02 - Course Introduction.mp4 6.3 MB
57 - Support Vector Classifier.mp4 6.2 MB
40 - Maximizing the Margin.mp4 6.2 MB
10 - The Posterior Probability Functions.mp4 6.1 MB
36 - Summary Artificial Neural Networks.mp4 5.9 MB
01 - Course Promo.mp4 5.7 MB
14 - Classifying Data Points Using Linear Discriminant Functions.mp4 5.7 MB
17 - Summary Linear Discriminant Analysis.mp4 5.6 MB
50 - Solving the Dual Problem.mp4 5.6 MB
19 - Logistic Regression Model of the Posterior Probability Function.mp4 4.4 MB
24 - Summary Logistic Regression.mp4 4.4 MB
73 - Summary Support Vector Machine Classifier.mp4 4.0 MB
62 - A Convex Optimization Problem.mp4 3.8 MB
37 - Maximal Margin Classifier.mp4 3.7 MB
29 - Estimating the Output Functions.mp4 3.5 MB
30 - Error Function for Regression.mp4 3.5 MB
64 - The Coefficients for the Soft Margin Hyperplane.mp4 3.4 MB
48 - KKT Conditions.mp4 3.1 MB
53 - Classifying Test Points.mp4 2.9 MB
65 - Classifying Test Points (Soft Margin).mp4 2.8 MB
66 - The Support Vectors (Soft Margin).mp4 2.7 MB
35 - Summary of Backpropagation.mp4 2.7 MB
59 - Slack Variables Points on Wrong Side of Hyperplane.mp4 2.5 MB
69 - Summary Support Vector Classifier.mp4 2.3 MB
49 - Primal and Dual Problems.mp4 2.2 MB
43 - Proof 2.mp4 2.1 MB
70 - Support Vector Machine Classifier.mp4 2.0 MB
47 - Solving the Convex Optimization Problem.mp4 1.9 MB
07 - Summary Linear Regression.mp4 1.9 MB
56 - Summary Maximal Margin Classifier.mp4 1.8 MB
27 - Forward Propagation.mp4 1.8 MB
41 - Definition of Maximal Margin Classifier.mp4 1.8 MB
08 - Classification.mp4 1.7 MB
18 - Logistic Regression.mp4 1.7 MB
52 - The Support Vectors.mp4 1.6 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 784.3 kB
TutsGalaxy.com.txt 41 Bytes

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