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[FreeTutorials.Us] cluster-analysis-unsupervised-machine-learning-python
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文档列表
05 Appendix/026 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
46.0 MB
02 K-Means Clustering/008 Soft K-Means in Python Code.mp4
31.7 MB
04 Gaussian Mixture Models GMMs/021 Write a Gaussian Mixture Model in Python Code.mp4
31.6 MB
02 K-Means Clustering/015 K-Means Application Finding Clusters of Related Words.mp4
27.2 MB
05 Appendix/027 How to Code by Yourself part 1.mp4
25.7 MB
02 K-Means Clustering/010 Examples of where K-Means can fail.mp4
17.8 MB
05 Appendix/028 How to Code by Yourself part 2.mp4
15.5 MB
03 Hierarchical Clustering/018 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4
12.4 MB
02 K-Means Clustering/012 How to Evaluate a Clustering Purity Davies-Bouldin Index.mp4
11.9 MB
02 K-Means Clustering/013 Using K-Means on Real Data MNIST.mp4
11.2 MB
02 K-Means Clustering/014 One Way to Choose K.mp4
9.5 MB
01 Introduction to Unsupervised Learning/004 How to Succeed in this Course.mp4
9.2 MB
01 Introduction to Unsupervised Learning/002 What is unsupervised learning used for.mp4
7.9 MB
01 Introduction to Unsupervised Learning/003 Why Use Clustering.mp4
7.0 MB
03 Hierarchical Clustering/017 Agglomerative Clustering Options.mp4
6.5 MB
02 K-Means Clustering/009 Visualizing Each Step of K-Means.mp4
5.5 MB
04 Gaussian Mixture Models GMMs/019 Description of the Gaussian Mixture Model and How to Train a GMM.mp4
5.5 MB
04 Gaussian Mixture Models GMMs/022 Practical Issues with GMM Singular Covariance.mp4
5.2 MB
02 K-Means Clustering/005 Visual Walkthrough of the K-Means Clustering Algorithm.mp4
5.1 MB
03 Hierarchical Clustering/016 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4
4.6 MB
02 K-Means Clustering/006 Soft K-Means.mp4
4.4 MB
01 Introduction to Unsupervised Learning/001 Introduction and Outline.mp4
4.3 MB
02 K-Means Clustering/011 Disadvantages of K-Means Clustering.mp4
4.1 MB
04 Gaussian Mixture Models GMMs/023 Kernel Density Estimation.mp4
3.9 MB
04 Gaussian Mixture Models GMMs/024 Expectation-Maximization.mp4
3.7 MB
02 K-Means Clustering/007 The K-Means Objective Function.mp4
3.2 MB
04 Gaussian Mixture Models GMMs/020 Comparison between GMM and K-Means.mp4
3.1 MB
04 Gaussian Mixture Models GMMs/025 Future Unsupervised Learning Algorithms You Will Learn.mp4
2.0 MB
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