CERTIFICATE IN PATTERN RECOGNITION

Duration: 3 MONTHS

Course Syllabus

  • Introduction to pattern recognition and its applications
  • Bayesian decision theory
  • Bayesian estimation: Gaussian distribution, ML estimation, EM algorithm
  • Feature selection and extraction
  • Linear Discriminant Functions
  • Nonparametric Pattern Recognition
  • Algorithm-independent Learning
  • Comparing classifiers
  • Learning with Multiple Algorithms

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Eligibility

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