Computational Statistics-Based Prediction Algorithms Using Machine Learning

Author:

Narayana Rao T. Venkat1,Thumukunta Manogna1,Kurni Muralidhar2ORCID,K. Saritha3

Affiliation:

1. Sreenidhi Institute of Science and Technology, Hyderabad, India

2. Anantha Lakshmi Institute of Technology and Sciences, Ananthapuram, India

3. Sri Venkateswara Degree and PG College, Ananthapuram, India

Abstract

Artificial intelligence and automation are believed by many to be the new age of industrial revolution. Machine learning is an artificial intelligence section that recognizes patterns from vast amounts of data and projects useful information. Prediction, as an application of machine learning, has been sought after by all kinds of industries. Predictive models with higher efficiencies have proven effective in reducing market risks, predicting natural disasters, indicating health risks, and predicting stock values. The quality of decision making through these algorithms has left a lasting impression on several businesses and is bound to alter how the world looks at analytics. This chapter includes an introduction to machine learning and prediction using machine learning. It also sheds light on its approach and its applications.

Publisher

IGI Global

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