
Machine Learning
Presentation
•
Other
•
5th Grade
•
Practice Problem
•
Easy
Lenika Serraneau
Used 6+ times
FREE Resource
22 Slides • 6 Questions
1
AI and Machine Learning
Lesson 2
Introduction to Machine Learning
2
Poll
How are you feeling today?
happy
bored
excited
neutral
3
Drag and Drop
4
5
Open Ended
What is an example of Artificial Intelligence in your personal life or A.I. that you've seen in a movie or book?
6
7
CSD AI & Machine Learning Lesson 2 - Warm Up
Machine
Learning
AI
Self-Driving
Cars
Facial
Recognition
Personal
Recommendations
Robots &
Chatbots
8
CSD AI & Machine Learning Lesson 2 - Warm Up
Key Vocabulary
● Machine Learning - How computers recognize
patterns and make decisions without being
explicitly programmed
9
CSD AI & Machine Learning Lesson 2 - Warm Up
The Problem Solving Process
What problem are you
trying to solve?
What data do you
want to use?
Let’s train a model
and test it out!
How well did the model do?
How can it be improved?
What is the impact on society?
Who is included? Who is excluded?
10
Question of the Day
How can we use the Problem Solving Process to
help solve a problem with machine learning?
CSD AI & Machine Learning Lesson 2 - Warm Up
11
12
CSD AI & Machine Learning Lesson 2 - Activity
Classifying Fish
You should have:
Classifying Fish Activity Guide
Pen/Pencil
13
CSD AI & Machine Learning Lesson 2 - Activity
Code Studio
Navigate to Code Studio
Lesson 2 Level 1 -
Recognizing Fish
💻
14
CSD AI & Machine Learning Lesson 2 - Activity
Do This
We will complete the first level together.
We will train A.I. Bot to recognize whether
an object is a fish or not.
As we do, fill out the top section of your
Activity Guide
Code Studio Lesson 2 Level 1
15
CSD AI & Machine Learning Lesson 2 - Activity
Discuss
If we wanted A.I. Bot to become better at recognizing fish,
how do you think we could help it do that?
16
CSD AI & Machine Learning Lesson 2 - Activity
Code Studio
Navigate to Code Studio
Lesson 2 Level 2 -
Recognizing Fish Features
💻
17
CSD AI & Machine Learning Lesson 2 - Activity
Code Studio, Level 2
Recognizing Fish Features
Do This
● Navigate to Lesson 2 Level
2
● Choose a feature you want
to train A.I Bot to recognize
● Record this information in
the second part of the
activity guide
18
CSD AI & Machine Learning Lesson 2 - Activity
Code Studio, Level 2
Do This
● When you reach the final stage, press the
white information icon in the upper-right
corner
○ This displays the features that A.I. Bot
is using to help make its decision.
○ In the example here, A.I. Bot has
learned that the color matters the most
when making a decision and the eyes
matter the least
Information Icon
19
CSD AI & Machine Learning Lesson 2 - Activity
Discuss
What features did A.I. Bot think were the most important?
Are those the features you were expecting to be most
important?
20
CSD AI & Machine Learning Lesson 2 - Activity
Code Studio
Navigate to Code Studio
Lesson 2 Level 3 -
Recognizing Fish Expressions
💻
21
CSD AI & Machine Learning Lesson 2 - Activity
Code Studio, Level 3 Recognizing Expressions
Do This
● Choose an expression that you want to train A.I. Bot to
recognize
● Train A.I. Bot to recognize a fish by its expression, such as
“silly” or “serious” or “angry”
● Record this information in your Activity Guide.
22
CSD AI & Machine Learning Lesson 2 - Activity
Here is an example from a student who trained A.I. Bot to
identify “angry” fish
Looking at this screen, why do you think color appeared as
the second most important feature?
Code Studio, Level 3 Recognizing Expressions
23
CSD AI & Machine Learning Lesson 2 - Activity
Discuss
Do you think it’s okay to consider a fish “angry” by its color?
24
25
Open Ended
Journal Prompt:
What is something new you learned about Machine Learning today?
26
Fill in the Blanks
Type answer...
27
CSD AI & Machine Learning Lesson 2 - Wrap Up
Question of the Day
How can we use the Problem Solving Process to
help solve a problem with machine learning?
28
Open Ended
How can we use the Problem Solving Process to help solve a problem with machine learning?
AI and Machine Learning
Lesson 2
Introduction to Machine Learning
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