Dear Students the Lecture Notes has been uploaded for the following topics:</br>Components of learning, </br>Learning models: Geometric models –Probabilistic models –Logic models, </br>Types of Learning – Supervised –Unsupervised – Reinforcement, </br>Grouping and grading - Learning versus Design, </br>Theory of learning –Feasibility of learning
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Support Vector Machines- Soft margin SVM, </br>K-means – Clustering around Medoids- Silhouttes, </br>Nearest neighbor models , </br>Perceptrons - Multilayer Neural Networks, </br>Learning Neural Networks structures, </br>Logistic regression
Dear Students the Question Bank has been uploaded for the following topics:</br>Set A QP, </br>Set B QP
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Hierarchical clustering, </br>k-d trees –Locality Sensitive Hashing–, </br>Ensemble learning , </br>Bagging and random forests , </br>Boosting –meta learning, </br>K-means – Clustering around Medoids- Silhouttes, </br>Error and noise - Training versus Testing
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Linear classification – Univariate Linear Regression
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Grouping and grading - Learning versus Design, </br>Bias and variance –Learning Curve, </br>Linear classification – Univariate Linear Regression, </br>Error and noise - Training versus Testing
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Error and noise - Training versus Testing, </br>Bias and variance –Learning Curve, </br>Error and noise - Training versus Testing
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Theory of Generalization –Generalization bound, </br>Error and noise - Training versus Testing, </br>Bias and variance –Learning Curve
Dear Students the Puzzles has been uploaded for the following topics:</br>Machine Learning, </br>Machine learning-introduction, </br>Fun Activity
Dear Students the Resource Link has been uploaded for the following topics:</br>Machine Learning for Everybody</br>What is Machine Learning?</br>Machine learning - Beginners
Assignment topic is "Visualizing the Evolution of Machine Learning Models" and due date is 10-09-2024.
Dear Students the Youtube Video has been uploaded for the following topics:</br>Case Study-Traditional vs Tehnology</br>Machine Learning-Introduction</br>Why Machine Learning?</br>Components of Machine Learning</br>Learning in Practice</br>Learning Models</br>DT Based Types of Learning</br>Types of Learning</br>Introduction to Machine Learning-NPTEL Videos
Dear Students the Question Bank has been uploaded for the following topics:</br>Introduction to Machine Learning, </br>Introduction to Machine Learning- MCQ
