People Innovation Excellence
 

MACHINE LEARNING (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Explain the fundamental of machine learning concept; Interpret the distribution of dataset using regression method; Experiment classification and clustering algorithm from given dataset.

Topics:

  1. Introduction to Machine Learning 1
  2. Introduction to Machine Learning 2
  3. Probability and stochastic processes 1
  4. Probability and stochastic processes 2
  5. Learning in parametric modeling 1
  6. Learning in parametric modeling 2
  7. Mean-Square Error linear estimation
  8. Feature Engineering: Feature Extraction & Selection
  9. The nearest neighbor rule (KNN) & Logistic regression
  10. Support Vector Machine
  11. Classification Tree
  12. Clustering
  13. Review & project presentation

Published at : Updated

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