Machine Learning

Subhankar Mishra

School of Computer Sciences
National Institute of Science Education and Research
Bhubaneswar, Odisha

Lecture 0 : Stuff

Who is this course for?

• Students of CS460/CS660
• Beginner in Machine Learning

How will this help?

• Good understanding of the field
• Start asking right questions
• Is the problem "Machine Learnable"?
• If yes, what techniques you should use

Grades

• Midterm - 10
• Endterm - 40
• Project - 50
  • Proposal 10
  • Milestone 10
  • Final Report 20
  • Presentation/Poster 10
• Extra Credit
  • CS Competition outside

Project

• Group size - Max 3
• Course Project
  • Empirical analysis :
  • Algorithms and models :
  • Theoretical : Take a known algorithm and derive a rigorous result about it

Introduction

Machine learning is usually about

• Finding a mathematical formula
• Given a collection of inputs (training data)
• which produces required output

Learning

Let's say reading characters.