Data Science Tales - A Tech blog by Bia Chaudhry

There are a lot of challenges and issues that demand for similarity measures among the graphs or networks, with the increase in technology the social network is also increasing day by day, therefore there is a need for more speed and more security. When we look at the mutual friends on Facebook, when we browse the internet and find all the related material to our search, or when we go to the doctor for DNA tests, the doctor provides the similarity measures among us and our family members. We wonder that how Amazon, YouTube and other related sites are giving suggestions related to our query. So there comes the concept of Similarity among different things and making clusters of those things that are very much similar.  Network Similarity is a vast field, it enables us to accomplish several mining tasks like visualization, discontinuity detection and clustering. And this require algorithms,  Designing of an algorithm to solve any problem is a big task, after the desig...

“ Data is the new oil? No: Data is the new soil. ”          ~ David McCandless These days plethora of new things are coming like: "Naya Pakistan" , "Naya prime-minister" , "Naya Semester" and the list goes on... but Let's just talk about this "new soil" science that is "Data Science " Data Science is made up of two words: Data and Science.  Data is a Latin word and a plural of  datum, meaning "thing" It is first used in English in 1640's (17th Century ).  Science came from Latin too, it is derived from a Latin word "scientia" meaning knowledge . Then the old French said : "Hey, I don't like "scientia" let's call it "escience" or just forget about "e" in the beginning and say it: "science" " . Then an English came and said : "I order you to take this word as "science" and no more debate on this !" ...