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@@ -24,6 +24,7 @@ Essential codes for jump-starting machine learning/data science with Python
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* _K_-means clustering
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* Affinity propagation (showing its time complexity and the effect of damping factor)
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* Mean-shift technique (showing its time complexity and the effect of noise on cluster discovery)
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* Hierarchical clustering with Denograms showing how to choose optimal number of clusters
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### Deep Learning/Neural Network
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* Demo notebook to illustrate the superiority of deep neural network for complex nonlinear function approximation task.

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