Events

• Introduction to AI and its applications in real world.
• Introduction about machine learning, Types of Learning algorithms
• Un supervised learning methods, Partitioned and hierarchical clustering methods
• Bayesian learning, decision tree based classification methods
• Dimensionality reduction methods
• Hands on to implementation of supervised and unsupervised methods
• Support vector machine classification and application
• Neural networks and practical implementation
• Introduction to Deep learning methods and applications
• Medical Image data processing and analysis
• Hands on to implementation of Image data processing and analysis
• Reinforcement Learning, Optimization and Data driven Methods