INTRODUCTION TO MACHINE LEARNING

So, What actually is Machine Learning ???

According to me , Machine Learning is a science of getting computers to predict the logic, just what we need to do is provide them the Data sets . If i say you to solve a problem??? Some of you will write a program , but won't it be something magical, when the system recognizes the pattern and finds out the logic for your problem . Sounds Interesting??

What i can say is to solve a problem i don't need to write a program , i will ask my machine to find the logic by its own . Just what i have to do is provide the data sets.

Don't you think which Machine Learning Algorithm to use , depends on the data sets ? Of course, it does.

How to approach to a problem , first of all we should know well which type of learning algorithm we should use ?? According to me , i think we should first of all, look at the Data sets, if the data sets contains input (X) and output(Y) both , we should go with Supervised Learning.

And if we have unlabeled data(only X) , that is only input , we will go with Unsupervised Learning .

So, there are most importantly different Machine Learning Algorithm :

Supervised Learning :  So, if you are training your machine for every input with corresponding output(target), it is then called as supervised learning which will be able to provide target for any new input after sufficient training.

Unsupervised Learning:And if you are training your machine , only with a set of inputs, it is called unsupervised learning , which will be able to figure out the structure between different inputs. And then it using the concept of clustering to predict the output for the new inputs values.

And Reinforcement Learning , will definitely provide you that in my next article , along with explanation of Regression, Classification, Clustering, with real examples in the next Article.

#Keep Learning !

#Easy Way to learn Machine Learning

Pallavi Goel