Data science, big data, machine learning - you almost certainly detected these massive words, however however graspable was their which means for you? for a few, they're stunning promoting lures. somebody thinks that information science is that the magic which will force the machine to try to to no matter it orders for free of charge. Others even believe that this can be a simple thanks to create loads of cash. Nikita Nikitinsky, head of R&D at IRELA and Polina Kazakova, information human, justify what it's in a very straightforward and graspable language.
To begin with, in fact, nobody extremely is aware of what information science is, and there's no strict definition - this can be a awfully broad and knowledge domain construct. Therefore, here i'll share my vision, that doesn't essentially coincide with the opinions of others.
The term information science is translated into Russian as “data science”, and within the skilled atmosphere it's usually merely transliterated as “date science”. Formally, this can be a group of some reticulated disciplines and ways from the sector of computing and arithmetic. Sounds too abstract, right? Let's get wise right.
The first part of knowledge science, while not that the total any method is not possible, is, in fact, the info itself: the way to collect, store and method it, still as the way to extract helpful data from a standard information array. it's up to eightieth of their operating time to clear the info and convey it to the correct kind.
An important a part of now is the way to handle information that normal ways of storage and process aren't appropriate as a result of their vast volume and / or selection - the alleged massive information, big data. By the way, don't let yourself be confused: massive information and information science aren't synonyms: rather, the primary subdivision of the second. At constant time, information analysis specialists don't continually have to be compelled to work with massive information in observe - little ones is helpful.
