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README.md

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@@ -17,7 +17,7 @@ Topics covered throughout the course:
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* Self-Organizing Maps
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* Locally Linear Embedding
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* Probability density estimation
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* Mixture models & Expectation-Maximization algorithm
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* Mixture models & the Expectation-Maximization algorithm
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* Hidden Markov Models
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* Estimation theory
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