gensim: Experiments on the English Wikipedia

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by John Tukey , exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods.

If you're interested in supplemental reading material for the course check out the Exploratory Data Analysis book. (Not Required)

A background in statistics is helpful but not required. Consider taking Intro to Descriptive Statistics prior to taking this course. Relevant topics include:

Nirukta ( Sanskrit : निरुक्त , IPA:  [n̪irukt̪ə] ) means "explained, interpreted" and refers to one of the six ancient Vedangas , or ancillary science connected with the Vedas – the scriptures of Hinduism . [1] [2] [3] Nirukta covers etymology , and is the study concerned with correct interpretation of Sanskrit words in the Vedas. [3]

Nirukta is the systematic creation of a glossary and it discusses how to understand archaic, uncommon words. [1] The field grew probably because almost a quarter of words in the Vedic texts composed in the 2nd-millennium BCE appear just once. [2] [4] [5]

The texts of the Nirukta field of study are also called Nirvacana shastra . [8] A critical edition of the Nighantu and the Nirukta was published by Lakshman Sarup in the 1920s.

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by John Tukey , exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods.

If you're interested in supplemental reading material for the course check out the Exploratory Data Analysis book. (Not Required)

A background in statistics is helpful but not required. Consider taking Intro to Descriptive Statistics prior to taking this course. Relevant topics include:

Nirukta ( Sanskrit : निरुक्त , IPA:  [n̪irukt̪ə] ) means "explained, interpreted" and refers to one of the six ancient Vedangas , or ancillary science connected with the Vedas – the scriptures of Hinduism . [1] [2] [3] Nirukta covers etymology , and is the study concerned with correct interpretation of Sanskrit words in the Vedas. [3]

Nirukta is the systematic creation of a glossary and it discusses how to understand archaic, uncommon words. [1] The field grew probably because almost a quarter of words in the Vedic texts composed in the 2nd-millennium BCE appear just once. [2] [4] [5]

The texts of the Nirukta field of study are also called Nirvacana shastra . [8] A critical edition of the Nighantu and the Nirukta was published by Lakshman Sarup in the 1920s.

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Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by John Tukey , exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods.

If you're interested in supplemental reading material for the course check out the Exploratory Data Analysis book. (Not Required)

A background in statistics is helpful but not required. Consider taking Intro to Descriptive Statistics prior to taking this course. Relevant topics include:

 
 
 
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