Objectives On completion of this tutorial, you will be able to:

• Distinguish between supervised and unsupervised machine learning
• Define supervised machine learning and identify its limitations and use cases

Tutorial Overview 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 and unsupervised 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. Prerequisite Knowledge Big Data Tutorial Level: Intermediate Tutorial Duration: 45 minutes