© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
M. SekarMachine Learning for Auditorshttps://doi.org/10.1007/978-1-4842-8051-5_7

7. Myths and Misconceptions

Maris Sekar1  
(1)
Calgary, AB, Canada
 

In this chapter, some of the most important myths and misconceptions will be discussed. This chapter intends to break down the barriers to the practical application of data science techniques in our everyday work environment. Unfortunately, in certain situations, terms like artificial intelligence, machine learning, and data science have become household names and buzzwords that are used more as conversation starters.

On one side of the spectrum, some people have a lack of awareness of the subject. On the other side, ...

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