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than supervised learning since learning becomes simpler as there are

more concepts and systems to understand.

2.5.2 Benefits of Machine Learning

Machine learning is an effective technology that uses as big data to derive

insightful information and enhance decision-making in a variety of scientific
fields. Machine learning algorithms can learn from observations and infer

functions or models by processing enormous volumes of data.

Then, you can use these models to categorize things, make predictions, or

solve challenging problems. Machine learning has the potential to transform
clinical practice in the realm of medicine by assisting in clinical decision-

making and enhancing patient care. Machine learning algorithms can assist
medical professionals in making more precise diagnosis and treatment

choices by examining patient data (McDonald et al., 2017).

According to Pi (2021), governments can also use machine learning to

improve the way services are delivered and to make better operational
decisions. Governments may examine huge datasets and extract useful

information to increase efficacy and efficiency in a variety of sectors by
utilizing the power of machine learning. Classification, regression, and

grouping are just a few of the issues that machine learning algorithms can

handle. They gain knowledge from the data, spotting trends and formulating
rules that they subsequently apply to fresh data in order to forecast outcomes

or reach meaningful conclusions.

2.5.3 Limitations of Machine Learning

Even though it is a great tool, machine learning has its limitations. Its reliance
on data quality and quantity is one such restriction. The availability of high-

quality data is crucial for the accuracy and dependability of machine learning

algorithms. The accuracy of the predictions or choices made by the models

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