Course Description for Machine Learning

The course studies fundamental techniques and algorithms in machine learning. Introduces techniques like regression, classification, and clustering and describes the differences among them. The course also studies a variety of supervised and unsupervised learning algorithms including SVM, KNN, ANN, Q-Learning among others. The course also introduces the students to deep learning strategies. Evaluation techniques for any learning strategy are also discussed.