Machine Learning for Engineering & Science Applications | IIT Madras - #82 Unsupervised Learning & Kmeans | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture discusses unsupervised learning and the K-means clustering algorithm. Unsupervised learning is a type of machine learning where the data is not labeled. Clustering is a task in unsupervised learning where the goal is to group the data points into clusters. The K-means algorithm is a popular clustering algorithm that works by iteratively assigning data points to clusters and updating the cluster centroids. 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 #UnsupervisedLearning #KMeans #ClusteringAlgorithm #CostFunction #ClusterCentroid #Inertia