-
Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Definition of learning systems, Goals and applications of machine learning, Types of Machine Learning, Machine Learning Process-Terminology-Weight Space, The Curse of Dimensionality, Testing Machine Learning Algorithms, Regression: Linear Regression –Parametric Models, Multivariate Regression, Classification: Bayesian Decision Theory-parametric and non-parametric methods, Multivariate Classification-Logistic Regression, K-Nearest Neighbor classifier, Decision Tree based methods for classification and Regression- Ensemble methods
-
Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Introduction, Clustering-K-means clustering, EM algorithm, Hierarchical Clustering, Principal Component Analysis, Probabilistic PCA