Types of Machine Learning

Hello Guys,We heard about supervised and unsupervised  machine learning. What exactly it is.So we will see first what is the basic difference in these two machine learnings.

Supervised learning:

• suppose you had a basket and it is fulled with some fresh fruits your task is to arrange the same type fruits at one place.
• suppose the fruits are apple,banana,cherry,grape.
• so you already know from your previous work that, the shape of each and every fruit so it is easy to arrange the same type of fruits at one place.
• here your previous work is called as train data in data mining.
• so you already learn the things from your train data, This is because of you have a response variable which says you that if some fruit have so and so features it is grape, like that for each and every fruit.
• This type of data you will get from the train data.
• This type of learning is called as supervised learning.
• This type solving problem come under Classification.
• So you already learn the things so you can do you job confidently.

unsupervised :

• suppose you had a basket and it is fulled with some fresh fruits your task is to arrange the same type fruits at one place.
• This time you don't  know any thing about that fruits, you are first time seeing these fruits so how  will you arrange the same type of fruits.
• What you will do first you take on fruit and you will select any physical character of that particular fruit. suppose you taken color.
• Then you will arrange them base on the color, then the  groups will be some thing like this.
• RED COLOR GROUP: apples & cherry fruits.
• GREEN COLOR GROUP: bananas & grapes.
• so now you will take another physical character as size, so now the groups will be some thing like this.

    In short, We dont know the response or target variable for our data. We are trying to 

    group the data based on some features to find some useful outcome through algorithms.
    This is called unsupervised learning .