Machine Learning is the Field of study that Gives Computers the ability to learn without being Explicitly Programmed.
It is the subset of AI, which enables the Machine to Automatically Learn from data, improve performance from past experience and make predictions.
A Computer Program is said to learn from Experience E with respect to some Task T and some performance measure P, if its performance on T, as measured by P, improves with Experience E.
Traditional Programing
Let’s see Example
Teach a computer to follow traffic Light Rules
If Red, stop car and turn off engine.
Else if yellow start your car Engine.
Else If green go!!
Simple and a smaller number of rules
Easy to program.
Why even bother with Machine Learning?
Why we Use Machine Learning?
Teach a computer to Identify
Running
Jumping
Walking
In this Image Can you right the rules?
How many rules do need to be right?
Machine Learning Approach
Types of Machine Learning
Supervised Learning
Unsupervised Learning
Supervised Learning
A type of Machine Learning which requires a human Labelled Dataset, which provides the necessary supervision during Training a ML Algorithm.
What is Training? What is dataset?
