Course Description

Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.

What am I going to get from this course?

Over 5 lectures and 47 mins of content!
In this course you will learn different learning concepts such as K- nearest neighbor learning , non symbolic machine learning etc.,neural network
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition

What is the target audience?

Students
Professionals interested in biometrics, expert system and robotics industry.