How Machines Learn
Grade 9th Grade · Computer Science · 40 min
What's Included
Learning Objective
Students will understand the general concepts of how a machine/computer can learn using pattern recognition and math
Warm-Up Video
TED-Ed · 4:57
How does artificial intelligence learn? - Briana Brownell
Guided Notes
3 key concepts
- 1
The three basic types of machine learning are unsupervised learning, supervised learning, and reinforcement learning.
- 2
Unsupervised learning is useful for finding general similarities and patterns, while supervised learning requires active input from doctors and computer scientists to improve accuracy.
- 3
Reinforcement learning uses an iterative approach to gather feedback and create optimal plans, and artificial neural networks can use millions of connections to tackle difficult tasks.
Practice Questions
8 questions · Multiple choice & Short answer
Exit Ticket
Quick comprehension check
“Describe one of the three types of machine learning (unsupervised, supervised, or reinforcement) discussed in the video, explaining how it uses pattern recognition and math to learn.”
Complete Lesson Package
Get all 3 ready-to-use resources:
