Purpose: Students will learn that it takes Data and Patterns to develop Machine Learning.

Vocabulary: Machine Learning, Artificial Intelligence, Bias

Journal: Define in less than one sentence: 1. Machine Learning. 2. Artificial Intelligence. That is ok if you do not know...just guess. By the end of the class, you will know.

Video: How AI Works: First, Machine Learning (View as a class.)

Assignment: Here are two videos that show that by analyzing large amounts of data for patterns (Machine Learning), AI is able to provide solutions.
Students should view each film individually, then in their Journal in no more than 2 sentences, answer the following questions:

Logon to Code.org: Click Here.

Assignment: Code.org - "Training AI to Clean the Oceans": Students classify objects as either "fish" or "not fish" to attempt to remove trash from the ocean.

1. "Recognizing Fish."
Scroll down to "Lesson 2: Introduction to Machine Learning / 1. Recognizing Fish." Begin by creating at least 500 Data Points that will help differentiate between Ocean Garbage and Fish. This will help build your Machine Learning pool of data. At 500 data points, select "Continue" and work your way to "2. Recognizing Fish Features."

2. "Recognizing Fish Features" AI and Machine Learning can be used to teach a computer new patterns. You will be asked to help teach AI about Colors or Shapes. (At 200 data points, and then select "Continue.)

3. "Recognizing Fish Expressions" This lesson will allow you to teach the computer facial expressions. The problem is that when you teach AI anything based on opinions, there is a good chance that the program will be Biased, which could cause harm or enequity. (At 100 data points, select "Continue.")

4. Check-In Survey - Code.org wants to learn more about the students that use their website. Complete only if you finish early.

Journal: Ok, now you should be able to...Define in less than one sentence Machine Learning. Define in less than one sentence Artificial Intelligence.