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Course Detail

Course Name Time Series Analysis

Syllabus

Richard O. Duda, Peter E. Hart and David G. Stork, Pattern Classification, Second Edition,

2003, John Wily & Sons.
Earl Gose, Richard Johnsonbaugh and Steve Jost, Pattern Recognition and Image Analysis,
2002, Prentice Hall of India.

Course Objectives and Outcomes

Course Outcomes
CO1: To gain knowledge about pattern classification and dimensionality reduction method
CO2: To understand the use of Maximum-likelihood and Bayesian Parameter Estimation
CO3: To understand and apply Nonparametric Techniques and Linear Discriminant Functions
CO4: To apply Nonmetric methods and Algorithm-independent Machine Learning
CO5: To implement clustering methods under unsupervised learning

Textbooks/ References

  1. Richard O. Duda, Peter E. Hart and David G. Stork, Pattern Classification, Second Edition, 2003, John Wily & Sons.
  2. Earl Gose, Richard Johnsonbaugh and Steve Jost, Pattern Recognition and Image Analysis, 2002, Prentice Hall of India.

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