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