-
Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Clustering- K-means, EM Algorithm, Linear Discriminant Analysis, Factor Analysis, Principal Components Analysis, Mixtures of Gaussians, Q Learning Algorithm, Elements of Reinforcement Learning
-
Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Machine Learning,Types of Machine Learning –Machine Learning process
-
Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Ensemble Methods, Bagging, Boosting., Bayesian Learning, Naïve Bayes, Neural Network Representation, Machine Learning,Types of Machine Learning –Machine Learning process, Linear Models for Regression, Decision Tree Learning , Perceptron – Multilayer Networks, Discriminant Functions, Probabilistic Generative Models, Probabilistic Discriminative Models
-
Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Machine Learning algorithms, Discriminant Functions, Probabilistic Generative Models, Probabilistic Discriminative Models, Ensemble Methods, Bagging, Boosting.