01. Introduction to Machine Learning

Introduction to Machine Learning

What is machine learning?

The method of teaching computers to make predictions based on some data provided as an input.

Over time, as more data is added as input, the machine learns the pattern and the output become more efficient.

For example, As a baby our experience was when try to walk we will fall down. When we touch fire, our hand will burn. That kind of experience we have, and we will learn from that experience and next time when we have similar kind of situation, and we will be able to predict the output. So our brain will easily predict the output that if we touch it, our hands will get burnt.

Like that we are giving the input to the computer (to the machine) next time when the input is required it will be able to predict the output.

This process is called as MACHINE LEARNING.

So the machine learning happens over and over with more and more input data. Machines will be able to accurately predict the output. 

The system learns from the data and improves its performance overtime. More data, more accuracy will be there.

We will see the types of machine learning in the next session.