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Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics: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 & Regression , Ensemble methods, Introduction & Clustering, K-means clustering, EM algorithm, Hierarchical Clustering, Principal Component Analysis, Probabilistic PCA
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Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:Hierarchical Clustering, The Brain and The Neuron, Neural Networks, Perceptron-Training the perceptron, Perceptron Learning Algorithm, Multilayer Perceptron, Back Propagation -Dimensionality Reduction., Convolutional Networks, Recurrent Neural Networks, Bidirectional RNNs, Deep Recurrent Networks, Recursive Neural Networks, Applications – Speech Recognition
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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