How Machines Learn
9th Grade · Computer Science · 40 min
Lesson Preview
Learning Objective
Students will understand the general concepts of how a machine/computer can learn using pattern recognition and math
- 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.
