00_intro

Welcome and Introduction to Machine Learning

Objectives

• Define AI, machine learning, and deep learning.
• Overview of applications of machine learning, especially for art and design.
• History of machine learning.
• Overview of tools for machine learning.
• Classification and Regression

Outline

• Introductions
• Syllabus
• Slides: Introduction to ML
• p5.js review

Supplemental Materials

• Read What is machine learning? We drew you another flowchart by Karen Hao
• Read A People’s Guide to AI by Mimi Onuoha and Mother Cyborg (Diana Nucera)
• Read Data & Society’s Algorithmic Accountability: A Primer
• Watch Seeing Machines Think — Martin Wattenberg and Fernanda Viégas
• Watch Kyle McDonald - Weird Intelligence

p5.js review

• Learning While Making p5.js with Lauren McCarthy
• Introducing the p5.js web editor!
• p5.js web editor with Cassie Tarakajian
• Code! Programming with p5.js playlist

Assignment 1a (due Thursday, Sep 14, Before 5 PM)

1. Create a blog (or category on a blog) for the course. (You may use any means for publishing your assignments including, but not limited to, a GitHub markdown file, medium post, etc.) This wiki page has resources and information on creating your own blog. Additionally, here is some helpful information on privacy options for your blog.
2. Read A People’s Guide to AI.
3. Creating a blog post documenting and reflecting on the following exercises from A People’s Guide to AI.
   • When you hear the words "Artificial Intelligence", what are the first four things that come to your mind? (p.11)
   • Answer the questions from the "Everyday AI Activity" on pages 23-28 of the A People’s Guide to AI.
4. Add a link to your post on the Homework Wiki Page for Assignment 1a. You are welcome to post under a pseudonym or alias.