Machine Learning Course Outcomes : Upon completion of the subject, students will be able to 1. Apply the concepts of concept learning to solve well posed problems. L3 2. Apply decision trees learning, artificial neural networks and evaluation hypotheses for the machine learning problems. L3 3. Compare and contrast Bayesian, Computational and Instance-based learning techniques. L3 4. Choose correct learning set of rules for machine learning problems using analytical learning. L3 5. Apply inductive and analytical approaches to learn reinforcement learning and Q learning. L3 ___________________________________________________________________________________ For More Understanding, Students can refer to the below material. This is for student(s) reference only. 1. Text Book TOM M. MITCHELL -- Download 2. Lesson Plan ----- Download 3. Unit Wise Question Bank- Download 4. Tennis Dataset 5. Salary Dataset ...