Supervised Machine Learning (S-ML): An Introduction

Artificial intelligence systems can help solve business problems by answering questions and facilitating data-informed decisions. Machine Learning (ML) programs - which fall into two categories, supervised and unsupervised - use raw data to develop models that can produce actionable business intelligence. Both Supervised Machine Learning (S-ML) and Unsupervised Machine Learning (U-ML) systems can thus support business processes and inform both day-to-day and strategic decisions. This tutorial provides an overview of supervised machine learning, including its advantages, limitations, and appropriate use cases.