Machine Learning PCCST503 Semester 5 KTU CS 2024 Scheme - Dr Binu V P

About Me Syllabus Model Question Paper Machine Learning PCCST503 Semester 5 KTU CS 2024 Scheme Do the programs to better understand the concept. Machiine Learning Lab PCCSL508 Module -I Introduction to Machine Learning Introduction to ML. Distinguishing Machine Learning from Traditional Programming. Machine Learning Paradigms. Supervised.  UnSupervised. Semi-Supervised. Reinforcement. Stages of Machine Learning: From Data Collection to Deployment Parameter Estimation Introduction to Parameter Estimation in Machine Learning. Maximum Likelyhood Estimation.(MLE). Maximum A Posteriori Estimation.(MAP). Numerical Problems MLE and MAP. Supervised Learning Feature Representation and Problem Formulation. Role of loss functions and optimization.  Regression Introduction to Regression    Linear regression with one variable.  (  lab experiment ) Example Problems- simple linear regression - University Questions Evaluation Metrics for Linear Regression Linear Reg...