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Math for Machine Learning
magnet:?xt=urn:btih:c88a5932f52aca8f7c5c272226f29adc2132a81a&dn=Math for Machine Learning
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文件列表详情
c88a5932f52aca8f7c5c272226f29adc2132a81a
infohash:
73
文件数量
571.26 MB
文件大小
2020-6-17 06:12
创建日期
2024-6-28 04:48
最后访问
相关分词
Math
for
Machine
Learning
Math for Machine Learning/16 - LDA Example 2.mp4 29.58 MB
Math for Machine Learning/01 - Course Promo.mp4 5.45 MB
Math for Machine Learning/02 - Course Introduction.mp4 5.97 MB
Math for Machine Learning/03 - Linear Regression.mp4 12.11 MB
Math for Machine Learning/04 - The Least Squares Method.mp4 19.22 MB
Math for Machine Learning/05 - Linear Algebra Solution to Least Squares Problem.mp4 19.81 MB
Math for Machine Learning/06 - Example Linear Regression.mp4 6.6 MB
Math for Machine Learning/07 - Summary Linear Regression.mp4 1.8 MB
Math for Machine Learning/08 - Classification.mp4 1.67 MB
Math for Machine Learning/09 - Linear Discriminant Analysis.mp4 967.07 KB
Math for Machine Learning/10 - The Posterior Probability Functions.mp4 5.86 MB
Math for Machine Learning/11 - Modelling the Posterior Probability Functions.mp4 12.45 MB
Math for Machine Learning/12 - Linear Discriminant Functions.mp4 9.23 MB
Math for Machine Learning/13 - Estimating the Linear Discriminant Functions.mp4 9.54 MB
Math for Machine Learning/14 - Classifying Data Points Using Linear Discriminant Functions.mp4 5.43 MB
Math for Machine Learning/15 - LDA Example 1.mp4 22.25 MB
Math for Machine Learning/17 - Summary Linear Discriminant Analysis.mp4 5.36 MB
Math for Machine Learning/18 - Logistic Regression.mp4 1.63 MB
Math for Machine Learning/19 - Logistic Regression Model of the Posterior Probability Function.mp4 4.22 MB
Math for Machine Learning/20 - Estimating the Posterior Probability Function.mp4 12.92 MB
Math for Machine Learning/21 - The Multivariate Newton-Raphson Method.mp4 18.01 MB
Math for Machine Learning/22 - Maximizing the Log-Likelihood Function.mp4 23.48 MB
Math for Machine Learning/23 - Logistic Regression Example.mp4 15.78 MB
Math for Machine Learning/24 - Summary Logistic Regression.mp4 4.19 MB
Math for Machine Learning/25 - Artificial Neural Networks.mp4 778.55 KB
Math for Machine Learning/26 - Neural Network Model of the Output Functions.mp4 20.71 MB
Math for Machine Learning/27 - Forward Propagation.mp4 1.75 MB
Math for Machine Learning/28 - Choosing Activation Functions.mp4 6.59 MB
Math for Machine Learning/29 - Estimating the Output Functions.mp4 3.36 MB
Math for Machine Learning/30 - Error Function for Regression.mp4 3.34 MB
Math for Machine Learning/31 - Error Function for Binary Classification.mp4 9.07 MB
Math for Machine Learning/32 - Error Function for Multiclass Classification.mp4 6.26 MB
Math for Machine Learning/33 - Minimizing the Error Function Using Gradient Descent.mp4 10.18 MB
Math for Machine Learning/34 - Backpropagation Equations.mp4 6.79 MB
Math for Machine Learning/35 - Summary of Backpropagation.mp4 2.54 MB
Math for Machine Learning/36 - Summary Artificial Neural Networks.mp4 5.6 MB
Math for Machine Learning/37 - Maximal Margin Classifier.mp4 3.51 MB
Math for Machine Learning/38 - Definitions of Separating Hyperplane and Margin.mp4 9.3 MB
Math for Machine Learning/39 - Proof 1.mp4 11.85 MB
Math for Machine Learning/40 - Maximizing the Margin.mp4 5.89 MB
Math for Machine Learning/41 - Definition of Maximal Margin Classifier.mp4 1.7 MB
Math for Machine Learning/42 - Reformulating the Optimization Problem.mp4 13.38 MB
Math for Machine Learning/43 - Proof 2.mp4 2 MB
Math for Machine Learning/44 - Proof 3.mp4 8.03 MB
Math for Machine Learning/45 - Proof 4.mp4 14.26 MB
Math for Machine Learning/46 - Proof 5.mp4 8.92 MB
Math for Machine Learning/47 - Solving the Convex Optimization Problem.mp4 1.83 MB
Math for Machine Learning/48 - KKT Conditions.mp4 2.96 MB
Math for Machine Learning/49 - Primal and Dual Problems.mp4 2.07 MB
Math for Machine Learning/50 - Solving the Dual Problem.mp4 5.32 MB
Math for Machine Learning/51 - The Coefficients for the Maximal Margin Hyperplane.mp4 765.95 KB
Math for Machine Learning/52 - The Support Vectors.mp4 1.49 MB
Math for Machine Learning/53 - Classifying Test Points.mp4 2.77 MB
Math for Machine Learning/54 - Maximal Margin Classifier Example 1.mp4 15.87 MB
Math for Machine Learning/55 - Maximal Margin Classifier Example 2.mp4 18.49 MB
Math for Machine Learning/56 - Summary Maximal Margin Classifier.mp4 1.76 MB
Math for Machine Learning/57 - Support Vector Classifier.mp4 5.94 MB
Math for Machine Learning/58 - Slack Variables Points on Correct Side of Hyperplane.mp4 6.05 MB
Math for Machine Learning/59 - Slack Variables Points on Wrong Side of Hyperplane.mp4 2.43 MB
Math for Machine Learning/60 - Formulating the Optimization Problem.mp4 6.05 MB
Math for Machine Learning/61 - Definition of Support Vector Classifier.mp4 1.2 MB
Math for Machine Learning/62 - A Convex Optimization Problem.mp4 3.59 MB
Math for Machine Learning/63 - Solving the Convex Optimization Problem (Soft Margin).mp4 10.4 MB
Math for Machine Learning/64 - The Coefficients for the Soft Margin Hyperplane.mp4 3.25 MB
Math for Machine Learning/65 - Classifying Test Points (Soft Margin).mp4 2.63 MB
Math for Machine Learning/66 - The Support Vectors (Soft Margin).mp4 2.57 MB
Math for Machine Learning/67 - Support Vector Classifier Example 1.mp4 24.35 MB
Math for Machine Learning/68 - Support Vector Classifier Example 2.mp4 15.74 MB
Math for Machine Learning/69 - Summary Support Vector Classifier.mp4 2.18 MB
Math for Machine Learning/70 - Support Vector Machine Classifier.mp4 1.87 MB
Math for Machine Learning/71 - Enlarging the Feature Space.mp4 9.05 MB
Math for Machine Learning/72 - The Kernel Trick.mp4 7.56 MB
Math for Machine Learning/73 - Summary Support Vector Machine Classifier.mp4 3.78 MB
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