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Lecture Notes
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Machine Learning – perspective – Issues - Examples of Machine Learning Applications , </br>Machine Learning – perspective – Issues - Examples of Machine Learning Applications , </br>turning data into Probabilities, and Statistics for Machine Learning, </br>Probability theory -Bayesian Decision Theory., </br>Machine Learning process- preliminaries, testing Machine Learning algorithms, </br>Linear models and least squares, </br>Subset selection, </br>Interpretation, </br>Neural Network Representation, </br>Bayesian Neural Net, </br>Neural Networks and fitting, </br>Regularization, </br>Guassian mixtures, </br>Independent component Analysis, </br>K- means clustering, </br>Self organizing maps, </br>Generalization, </br>Model based learning, </br>Reinforcement Learning, </br>temporal difference learning, </br>Linear Models for Classification- Discriminant Analysis , </br>Shrinkage Methods – Derived Input Directions , </br>Logistic Regression – Separating Hyper planes
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Puzzles
Dear Students the Puzzles has been uploaded for the following topics:</br>Machine learning algorithms
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Youtube Video
Dear Students the Youtube Video has been uploaded for the following topics:</br>Turning data into probability and statistics
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Assignment
Assignment topic is Linear Models and least squares and due date is 09-09-2024.
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Resource Link
Dear Students the Resource Link has been uploaded for the following topics:</br>Machine Learning algorithms