Unità 7 - IA e apprendimento automatico ('22-'23)

Students learn the basics of machine learning and use a tool called AI Lab to create machine learning models that can be used in App Lab. The unit starts with an overview of machine learning and how computers can use patterns in data to make decisions and predictions. Then, students learn how to use AI Lab to train models from tabular data while exploring issues of bias. Lessons follow a repeating "unplugged - AI Lab - App Lab" pattern so students are continually exposed to the concepts and tools of machine learning. The chapter culminates in a project where students select from a set of real-world datasets to train a machine learning model and create an app.

• How does machine learning find patterns in data to make decisions?
• How can we avoid bias when training a machine learning model?

This chapter prepares students to be machine learning scientists to create an app that addresses an issue in their community. Students follow along with a fictional group of students as they define an issue, develop a survey to collect data, analyze their data in AI Lab, create a model card, and create an app to solve their problem. Then, in the final project, students repeat these same steps with an issue they care about in their community.

• How can machine learning be used to solve problems in our community?