Machine Learning By Pallavi Goel

So, I am back with  Different Types Of Machine Learning Algorithms , and explained supervised and Unsupervised Learning in my previous Article , if you haven't seen that , do have a look . So, various types of 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. 1. Classification : Classification means the the action or process of   Classifying/Categorizing   something. Here , it means we will divide the data into  classes  , and will predict the  categorical response. . In other words we are trying to use data to make a prediction about a  discrete set of values or categorizes. When the data can be classified into two classes ,it is called as Binary Classification.  An example of a classification problem ...

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...