Machine learning (ML) allows computer to learn to do things without explicit programming. Computer can learn and adapt when presented with information in appropriate way. Machine learning based on Purchase and search history.
Machine learning (ML) and artificial intelligent (AI) are both branch of computer science which are closely related, but machine learning are closely related to data mining rather than artificial intelligent (AI). Spam emails are good example of machine learning and PayPal uses machine learning to detect fraud.
STEPS IN MACHINE LEARNING
There are six steps involved in Machine learning, which are;
TYPES OF MACHINE LEARNING
There are two types of machine learning, which are;
Supervised machine learning
Training machine learning task for every input with corresponding target, and after that machine will be able to provide target for any new input after sufficient training, known as supervised learning.
So if you provide a machine with sufficient data it will actuary able to provide target output for any new input. Example when you search movies in a store, the movie with large number of kisses will be romantic movie and movie with large number of kicks will be action movie.
Unsupervised machine learning
If you are training machine learning task with an only set of input not all input, after that machine will be able to find out the relationship between different inputs, it is known as unsupervised leaning.
Applications of machine learning
Can Compute see?
Mostly NO: computers can only “see” certain types of object under limited circumstances.
YES: for certain constrained problems (example face recognition).