MACHINE LEARNING – A GAME CHANGER
Machine learning is a subset of Artificial Intelligence. It helps the computer system to make predictions or decisions using the historical data by analyzing the trends and patterns of the data.
Eg: Spam mail classification
WHAT ARE THE TYPES OF ML?
- Supervised ML
- Unsupervised ML
- Reinforcement ML
WHAT IS SUPERVISED ML?
It uses labelled data for training. A data whose input and output is known is called the labelled data.
Eg :Image classification – is it a lion or an elephant? The ML model is already trained with the images of Lion and elephant.
WHAT IS UNSUPERVISED ML?
It uses unlabelled or raw data to discover the hidden patterns of the data. The ML model is not trained with the given data.
Eg: Image classification – is it an apple or a banana? The ML model classifies it as an apple or a banana based on the features of the data such as colour, size , shape , etc,..
WHAT IS REINFORCEMENT ML?
The ML model interacts with the environment to know its sequence of actions. Reward is given for a positive action and penalty is given for negative action. The goal is to maximize the reward.
Eg : Training a self driving car – goal is to reach the destination by following the rules which earns a reward.