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[FreeTutorials.Us] cluster-analysis-unsupervised-machine-learning-python
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2019-12-1 13:03
2024-8-23 06:16
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cluster-analysis-unsupervised-machine-learning-python
文件列表
01 Introduction to Unsupervised Learning/001 Introduction and Outline.mp4
4.11MB
01 Introduction to Unsupervised Learning/002 What is unsupervised learning used for.mp4
7.58MB
01 Introduction to Unsupervised Learning/003 Why Use Clustering.mp4
6.64MB
01 Introduction to Unsupervised Learning/004 How to Succeed in this Course.mp4
8.78MB
02 K-Means Clustering/005 Visual Walkthrough of the K-Means Clustering Algorithm.mp4
4.87MB
02 K-Means Clustering/006 Soft K-Means.mp4
4.15MB
02 K-Means Clustering/007 The K-Means Objective Function.mp4
3.02MB
02 K-Means Clustering/008 Soft K-Means in Python Code.mp4
30.21MB
02 K-Means Clustering/009 Visualizing Each Step of K-Means.mp4
5.25MB
02 K-Means Clustering/010 Examples of where K-Means can fail.mp4
17MB
02 K-Means Clustering/011 Disadvantages of K-Means Clustering.mp4
3.87MB
02 K-Means Clustering/012 How to Evaluate a Clustering Purity Davies-Bouldin Index.mp4
11.39MB
02 K-Means Clustering/013 Using K-Means on Real Data MNIST.mp4
10.7MB
02 K-Means Clustering/014 One Way to Choose K.mp4
9.07MB
02 K-Means Clustering/015 K-Means Application Finding Clusters of Related Words.mp4
25.98MB
03 Hierarchical Clustering/016 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4
4.4MB
03 Hierarchical Clustering/017 Agglomerative Clustering Options.mp4
6.22MB
03 Hierarchical Clustering/018 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4
11.85MB
04 Gaussian Mixture Models GMMs/019 Description of the Gaussian Mixture Model and How to Train a GMM.mp4
5.23MB
04 Gaussian Mixture Models GMMs/020 Comparison between GMM and K-Means.mp4
2.99MB
04 Gaussian Mixture Models GMMs/021 Write a Gaussian Mixture Model in Python Code.mp4
30.12MB
04 Gaussian Mixture Models GMMs/022 Practical Issues with GMM Singular Covariance.mp4
4.96MB
04 Gaussian Mixture Models GMMs/023 Kernel Density Estimation.mp4
3.7MB
04 Gaussian Mixture Models GMMs/024 Expectation-Maximization.mp4
3.5MB
04 Gaussian Mixture Models GMMs/025 Future Unsupervised Learning Algorithms You Will Learn.mp4
1.95MB
05 Appendix/026 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
43.92MB
05 Appendix/027 How to Code by Yourself part 1.mp4
24.53MB
05 Appendix/028 How to Code by Yourself part 2.mp4
14.8MB
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