Subject Details
Dept     : CSE
Sem      : 5
Regul    : R2019
Faculty : Subhashree P
phone  : NIL
E-mail  : subashree.p.cse@snsct.org
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Lecture Notes

UNIT 1:
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introduction to machine learning
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Testing machine learning algorithms
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Turning data into probability and statistics
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Bayesian theorem
UNIT 2:
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linear regression and least squares
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subset selection
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Linear models for classification
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logistic regression
UNIT 3:
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Boosting
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representation of neural networks
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Regularization
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representation of neural networks
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bayesian neural net
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neural network fitting
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interpretation
UNIT 4:
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Apriori algorithm
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Association rule
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Unsupervised learning
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Guassian mixtures
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Self Organizing Maps
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Independent Component Analysis
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K-Means clustering
UNIT 5:
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Temporal Difference Learning
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Generalization
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Model Based Learning
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Reinforcement Learning