A Look at Some of the Applications and Methods Used in Machine Learning

Authors

  • Sachin Sharma, Rahul Bhatt, Gesu Thakur

DOI:

https://doi.org/10.17762/msea.v71i4.825

Abstract

Data classification and regression are two applications that often make use of machine learning methods. Learning by machine is a method of data analysis that allows for the automated construction of analytical models. It is an area of artificial intelligence that is predicated on the notion that computers can learn from data, recognize patterns, and make decisions with little to no input from human beings. Machine learning is a subfield of computer science that investigates how computers may learn on their own without being given specific instructions. An application that enables the system to learn and develop from experience without being written to that level is known as machine learning (ML), which is a subset of artificial intelligence (AI). Machine learning relies on data to train itself and provide accurate results.

The significance of machine learning lies in the fact that it makes it possible for businesses to recognize patterns of customer behavior and company operations, in addition to assisting in the development of new goods. Machine learning is an integral part of the operations of a significant number of today's most successful businesses, like Facebook, Google, and Uber, amongst others. Many businesses now consider machine learning to be an essential component of their overall competitive strategy.

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Published

2022-09-16

How to Cite

Sachin Sharma, Rahul Bhatt, Gesu Thakur. (2022). A Look at Some of the Applications and Methods Used in Machine Learning. Mathematical Statistician and Engineering Applications, 71(4), 2679–2684. https://doi.org/10.17762/msea.v71i4.825

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Articles