  The emergence and continued reliance on the Internet and related technologies
has resulted in the generation of large amounts of data that can be made
available for analyses. However, humans do not possess the cognitive
capabilities to understand such large amounts of data. Machine learning (ML)
provides a mechanism for humans to process large amounts of data, gain insights
about the behavior of the data, and make more informed decision based on the
resulting analysis. ML has applications in various fields. This review focuses
on some of the fields and applications such as education, healthcare, network
security, banking and finance, and social media. Within these fields, there are
multiple unique challenges that exist. However, ML can provide solutions to
these challenges, as well as create further research opportunities.
Accordingly, this work surveys some of the challenges facing the aforementioned
fields and presents some of the previous literature works that tackled them.
Moreover, it suggests several research opportunities that benefit from the use
of ML to address these challenges.
