UNIT 1:
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Machine Learning, perspective
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Types of Machine Learning
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Testing Machine Learning algorithms
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Issues, Examples of Machine Learning Applications
UNIT 2:
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Introduction - Linear Models for Regression
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Linear Regression Models and Least Squares
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Subset Selection
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Shrinkage Methods
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Derived Input Directions
UNIT 3:
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Clustering, K-means
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Introduction, Association Rules
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Apriority Algorithm
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Clustering, K-means
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EM Algorithm
UNIT 4:
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Single State Case
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Elements of Reinforcement Learning
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Elements of Reinforcement Learning
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Model Based Learning