ABOUT THE COURSE:The course will cover basic concepts of Machine Learning - supervised and unsupervised learning, along with algorithms like K-nearest neighbors, Decision Trees, Perceptrons, Neural Networks, Linear Regression, K-means, Hierarchical Clustering etc. Each algorithm will be motivated by possible applications in different domains, especially text and images. The aim will be to convey the ideas and intuitions of the algorithms, avoiding mathematical details. The medium of instruction will be in Bengali.INTENDED AUDIENCE: Undergraduate students, teachers and graduate job aspirants from West BengalPREREQUISITES: mathematics of 10+2 or college levelINDUSTRY SUPPORT: AI/Data Science industry
Foundations and Applications of Machine Learning (Bengali)
Indian Institute of Technology, Kharagpur and NPTEL via Swayam
Overview
Syllabus
Week 1: Artificial Intelligence, Machine Learning, Data Sciences and their applications in various domainsWeek 2:Feature-based representation, Supervised and unsupervised learningWeek 3:K-nearest neighbor, Decision Trees with examplesWeek 4:Linear classifiers and Artificial Neural Networks with examplesWeek 5:K-means and Hierarchical ClusteringWeek 6:Data issues: dimensionality reduction, missing value imputation, class imbalanceWeek 7:Mathematical concepts: optimization, probability and linear algebraWeek 8:Intuitions for Computer Vision and Natural Learning Processing
Taught by
Prof. Adway Mitra
