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CENG
5531 Machine Learning and Applications
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Resources:
Lectures:
Chapter 2: Bayesian
Decision Theory
Chapter 3:Maximum-Likelihood
and Bayesian Parameter Estimation
Chapter 4: Nonparametric
Techniques
Chapter 5: Linear
Discriminant Functions
Chapter
10: Unsupervised Learning and Clustering
Review Questions for
the Final Exam
Homework