##Course Description :
The discipline of Industrial engineering utilizing artificial intelligence and machine learning techniques in diverse applications. This course will teach the supervised learning methods, the unsupervised learning methods, as well as the applications of probabilistic graphical learning models. These methods are applicable to quality control, text mining, time series analyses, etc.
Week 1. Motivation and basics
Week 2. Fundamentals of machine learning
Week 3. Naive Bayes Classifier
Week 4. Logistic Regression Classifier
Week 5. Support Vector Machine Classifier
Week 6. Training/Testing and Regularization
Week 7. Bayesian Network
Week 8. K-Means Clustering and Gaussian Mixture Model
Week 9. Variational Inference
Week 10. Hidden Markov Model
Week 11. Sampling Based Inference
##Online Lectures Video : You can find Online Lectures on YouTube.
Lecture Video URL : https://www.youtube.com/channel/UC9caTTXVw19PtY07es58NDg