Machine Learning for Engineering & Science Applications | IIT Madras - #80 Boosting | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture discusses boosting, which is another ensemble learning technique that can be used to improve the performance of a model. Boosting works by sequentially training multiple models, where each model is trained on a weighted version of the training data. The weights are adjusted at each iteration so that the models focus on the data points that were misclassified by the previous models. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #Boosting #DecisionTrees #AdaBoost #GradientBoosting