Big Data, Predictive Analytics and Machine Learning

Project Code :TCMAPY213

Objective

This application reinforces the need to devise new tools for predictive analytics using machine learning which is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

Abstract

The term "big data" tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. Nowadays, data is being generated by so many devices, therefore the term big data.

This application attempts to offer a broad definition of big data that captures its defining characteristics, reinforces reinforces the need to devise new tools for predictive analytics using machine learning which is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. With the abundance of data, comes the prediction models along with the machine learning that has been trained, the executives will become better at their decision-making process.

Keywords: Artificial Intelligence, Machine Learning, Predictive Analytics.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.