Problem Solving using Pattern Recognition

Pattern recognition is one of the most important areas of Artificial Intelligence. It is a branch of machine learning that focuses on the recognition of patterns and regularities in data. Pattern recognition systems can be trained from labelled training data through supervised learning and or unlabelled data through unsupervised learning. Pattern recognition has been widely used to solve many real-world problems such as image processing, speech recognition, data mining, business analytics, etc. There are many pattern recognition techniques available to perform different tasks such as regression, classification, clustering, etc. using various statistical and machine learning algorithms. This course will be useful for participants to acquire pattern recognition knowledge. It will help participants analyse data more effectively by deriving useful hidden patterns in the data. Participants will also learn how to select and apply the most suitable pattern recognition techniques to solve the given problems and develop pattern recognition systems.