What you will learn

• Explore common machine learning use cases implemented by businesses.

• Assess the feasibility of your own ML use case and its ability to meaningfully impact your business.

• Identify the requirements to build, train, and evaluate an ML model.

• Define data characteristics and biases that affect the quality of ML models and recognize key considerations for managing ML projects.