Machine Learning and Data Mining

This unit (NIT2251) discusses concepts, techniques and applications of data mining and machine learning. Data mining is the computational paradigms and algorithms to discover patterns from large data sets. Data mining is one of the most advanced tools used by IT industries. Machine learning is a branch of Artificial Intelligence and is an important component of the growing field of data science. This unit covers various topics include introduction to data mining, data pre-processing and machine learning approaches such as supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Students engage in hands-on programming exercises to implement some of the fundamental algorithms such as decision trees, support vector machines, regression analysis, Bayesian networks, clustering, and deep learning to analyse real world data.