Introduction

Machine learning (ML) has permeated various aspects of daily life that are unknown to many. From the recommendations of your daily social feeds to the results of your online searches, they are all powered by machine learning algorithms. These algorithms began in research environments solving niche problems, but as their accessibility broadened, so too have their applications for broader use cases. Researchers and businesses of all types recognize the value of using models to optimize every aspect of their respective operations. Doctors can use machine learning to decide diagnosis and treatment options, retailers can use ML to get the right products to their stores at the right time, and entertainment companies can use ML to provide personalized recommendations to their customers.

In the age of data, machine learning models have proven to be valuable assets to any data-driven company. The large quantities of data available allow powerful and accurate models to be created...