Data Analytics is the domain of science of analyzing the raw data so as to draw fruitful conclusions based on that information. It is a science that helps the individuals and companies make out sense of the raw data and then deliver insights and trends based on it. It is a vast process involving steps like inspecting the raw data, cleansing it, then transforming it, followed by modelling the raw ...
Read MoreBig Data is a field of Science that is a combination of structured, semi-structured and unstructured volumes of large data collected by the organizations. It is a term applied to the way of analyzing huge amount of data which either may be too large or complex to deal with, systematically extracting information from it and then successfully drawing insights based on it. In Big Data, advanced analytical techniques are used ...
Read MoreData Science is the field of study that manages vast volumes of data by making use of modern tools and techniques to derive meaningful information, find unseen patterns and make important business decisions. It is an important part of any industry today as in almost all the industries massive amounts of data are produced on daily basis. The popularity of this domain has increased manifold and companies all over the ...
Read MoreArtificial Intelligence is a wide-ranging domain of computer science concerned with the simulation of human intelligence demonstrated by the machines. It is a revolution creating technology wherein the software used by the computers reciprocate various aspects of human intelligence. The basic purpose of Artificial Intelligence is to enable computers to perform various human intellectual tasks such as decision making, problem solving, learning, reasoning, providing perception, analyzing data itself, understanding human ...
Read MoreMachine Learning is the Science that allows software applications to work on its own without being explicitly programmed thus enabling them to become accurate at predicting results. It is a way of programming the machines by using the historical data and based on that asking them to predict the new output values. It is the study of the computer algorithms that automates the analytical model building by improving automatically through ...
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