Tutorial I

This is the first Tutorial of the Introduction to Machine Learning MOOC on NPTEL. It summarizes the content covered in the first week of the course and teaches how to solve problems in exam. Topics covered are: 1. Types of learning: Supervised v.s. Unsupervised 2. Types of features: Categorical v.s. Continuous 3. Types of supervised learning: Classification v.s. Regression 4. Bias Variance Tradeoff 5. Generalization of performance of a learning algorithm Tutor: Anirban Santara, Google PhD Fellow, Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur. Homepage: http://santara.github.io Course homepage: https://onlinecourses.nptel.ac.in/noc...