In this course campers will learn about artificial intelligence and machine learning. How it has impacted just about every part of modern-day life to where is stands to impact the future. Starting with the fundamentals of basic modeling and linear regression, they will then explore how learning algorithms are constructed to solve problems. Then they will move on to understanding how datasets are analyzed and understood by computers and how through specific iterative learning processes artificial intelligence can be achieved.
|Ages||All who have working knowledge of algebra and prior programming experience|
|Skill Level||Intermediate to Advanced|
What will campers learn?
A history of artificial intelligence
Data modeling and its uses in machine learning
Understanding of linear regression
The basics of probability theory and its use in classification modeling algorithms
The difference between supervised and unsupervised machine learning
What will campers create?
Constructs for sampled learning and classification