Support Vector Machine, Support Vector Regression, Support Vector Classifier, Support Vectors, Machine Learning.
Reduction (PCA, SVD) 16. Clustering (K-Means Clustering, Hierarchical Clustering) 17. Anomaly Detection 18. Association Rule Learning 19. Reinforcement Learning Fundamentals and Applications 20. Q-Learning 21. Recommendation Systems Dive into an insightful Machine Learning tutorial for exam success