Introduction to ML PAT Rubric

[jlooper]

Lesson	Learning Targets	Strengths	Self-Reflection and Feedback
1	Understand the difference between AI, ML, deep learning, and data science, and how they work together.	Clear examples of the various defining aspects of the field
2	Describe the various eras of AI and ML, differentiating the two.	Understand the ebbs and flows in the fields and what triggered them
3	Recognize the need for, and applications of, fairness in ML.	Explore Fairlearn and understand the problem it is trying to solve
4	In preparation for these lessons, learn the process and techniques of ML research.	Plan for your ML project study path