An Introduction to the “How To” for AI and Machine Learning

This paper provides an overview of Artificial Intelligence (AI) and Machine Learning (ML) with a focus on discussing the processes used to develop and implement an AI application. We review the key components in building an AI application and then proceed to discuss the “how to.” The review of key components covers six major components including data sources, source code, and algorithms used to train the application (i.e., machine learning) and use of an AI application to fit specific business needs. The paper also provides background on biases with AI-related work as well as samples of different algorithms and models. Finally, we discuss next steps for the reader to consider if s/he wants to pursue AI and ML projects at her/his organization.