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README.md
@@ -12,3 +12,7 @@ Essential codes for jump-starting machine learning/data science with Python
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* Decision trees and Random Forest
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* Support vector machine classification
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* K-means clustering
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+### Function approximation by linear model and Deep Learning
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+* Demo notebook to illustrate the superiority of deep neural network for complex nonlinear function approximation task.
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+* Step-by-step building of 1-hidden-layer and 2-hidden-layer dense network using basic TensorFlow methods
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