CSUC301 : Machine learning

CO1 : Analyze machine learning problems using mathematical concepts to understand model behaviour and learning dynamics. 

CO2 : Design, Implement and analyse (both inference and interpretation) application specific supervised/unsupervised learning and NN models by selecting appropriate algorithms, hyperparameters, and evaluation metrics. 

CO3: solve complex pattern recognition tasks. 

CO4: Evaluate and implement reinforcement learning approaches for sequential decision problems by modelling environments and optimizing policies. 

CO5: Assess machine learning models with respect to fairness, interpretability, and data privacy considerations to ensure responsible deployment.