we will start with supervised learning and unsupervised learning is the machine talking about using the data which is well labelled let's marry right then what is the telling ok low-income and other companies of this well it's a low-income marriage male and living in Android with some number of children no like you know what is this you are giving some attributes and the corresponding outcome with positive and that you're giving it will look at the patterns and identify ok if I get which type of combination will be the day is it right one thank you to another example is so it pays in the email spam filter problem we have the date of receipt of email with over text within every evening we also know which of these moon so when you are having condition with its like that only thing is you are giving just the data and the outcome to find out is it a problem with each and every moving into an excellent so what is the answer 100 emails in other two machine is just looking at it and see what is this what is this is it is very simple process of partition in set of data object in the subject you are breaking how to cancel the items in a manner that you are maximized in Singh similarity between within one and you heard maximize the gift of fighter in separate that and it has Max we have to maximum put it into something that you don't know how many subject you will get to you will get then you can licence ok
