Week 2: Supervised Learning

Announcements

Tuesday

Recap Notes last week

  • Highlight the patterns your recognized

  • Hands-on in-class exercises

  • Revisit Lab 1 requirements

Pattern Recognition

Narrow down to course introduction, Identify Patterns.

  • Textbooks

  • Topics

  • Weeks

  • Resources

Let’s look at course examples.

Textbooks

All textbooks are free available online, and are optinal, not required.

In-class exercises:

*Explain to your classmates what you find interesting from one of the textbook
*Explain to your classmates your experience with Google Scholar
*Explain to your classmates one interesting resource you saw in the Resources from the courses.

Supervised learning

In-class exercises:

*Explain to your classmates what is supervised learning
*Explain to your classmates what is unsupervised learning

Lab 02

  • Supervised learning Basics

Thursday

Videos (long, hours)

Videos (short, minutes)

In-class exercises:

*Explain to your classmates what is an interesting topic your saw from these videos.

AAAI Accepted Posters (2022)

AAAI Accepted Posters (2021)

AAAI Accepted Posters (2020)

Supervised vs Unsupervised

Datasets

Iris Dataset