Introduction to Machine Learning

1. Machine Learning
Inspired from human learning!
Sandeep Karthikeyan

2. Domainof ML

3. WhatisML?
 1. Branch of Artificial Intelligence.
 2. ML concerns with the ability for
programs/systems to learn automatically from
empirical data without being explicitly
programmed.

4. Typesof
learning
 1. Supervised learning
 2. Unsupervised learning
 3. Reinforcement learning

5. Supervised
Learning

6. Modelthatcan
predictan
unlabeleditem

7. Unsupervised
learning ->
Learning without
aLabel

8. Onemore
example
(Clustering)

9. Reinforcement
Learning
 Reinforcement allows machines and software agents to
automatically determine the ideal behavior within a
specific context, in order to maximize its performance.
 Simple reward feedback is required for the agent to
learn its behavior; this is known as the reinforcement
signal.

10. MoreExamples

11. WhyMachine
Learning?

12. Questions?