Question

1. What is the process of removing data that you think is irrelevant (such as stop words) called?

   		Unsupervised learning
   		Cleaning data
   		Tabulating the census
   		Untheorized research

Answer 1

(ANSWER)
Cleaning data - > It is the process to remove the "Stop Words" or the irrelevant data. Stop words are those words which do not add any logic or meaning to a language or a sentence but are only used to form a sentence.

Ex - > Robert plays cricket at 10:00 AM each day. In this sentence, the word like at does not add any logical meaning when we talk about machine learning or drawing some inference from a given data




Unsupervised learning means that the we need to draw some conclusion from a given data set but we do not have any prior knowledge about the data which is given to us. It identify patters in cluster of data and draw some conclusion based on the property of data and its processing. It is a type of algorithm which is implemented to acheive this.


Tabulating the census means that we are storing the data after doing some kind of survey or data segregation based on some provided input. Census here may be historical data conclusion or may be a fresh survey as to make our system as good as real tme by storing data in tablular form from the census.


Untheorized research means that we are just trying to draw some conclusion from the given data set without applying any streamlined process or way to achieve the conclusion. It is just a brute force attack in the absense of any solid framework to categorize the data and try to understand it.



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