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You are here: EECS 6327 Probabilistic Models & Machine Learning (Fall 2019) » Course Outline
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course_outline [2016/08/29 19:21] – hjcourse_outline [2016/09/12 21:11] (current) – hj
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 ===== Weeks 1 and 2 ===== ===== Weeks 1 and 2 =====
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 +**Machine Learning** (basic concepts)
  
 **Math Background**: probabilities; Bayes theorem; statistics; estimation; regression; hypothesis testing; entropy; mutual information; decision tree; optimization theory and convex optimization; matrix decomposition  **Math Background**: probabilities; Bayes theorem; statistics; estimation; regression; hypothesis testing; entropy; mutual information; decision tree; optimization theory and convex optimization; matrix decomposition 
course_outline.1472498495.txt.gz · Last modified: 2016/08/29 19:21 by hj