My name is Tom Mattson. I am on the Faculty at the University of Richmond. I spent several years as a management & technical consultant before earning my PhD in International Management from the Shidler College of Business at the University of Hawai'i at Manoa. In this course, I will introduce you to supervised & unsupervised machine learning.

The pre-requisites are a positive attitude, a willingness to learn, and some intrinsic motivation. All other pre-requisite knowledge is not essential. We will use Python in this course due to popularity. However, the processes are applicable to other environments. A few of the learning objectives are as follows:

• Produce solutions to business problems with machine learning.
• Use machine learning to make business recommendations.
• Understand the ethical implications of machine learning.
• Use Python to train & test supervised machine learning models.
• Apply unsupervised machine learning models to different data sets.
• Understand the differences between explanatory & predictive models.
• Continue the development of your analytical and critical thinking skills.