AI Introduction
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4 sessions
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DO
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About
In this course, we will learn the basics of artificial intelligence and how it can be applied to various real-world scenarios. Topics will range from using numpy to linear regression to classification to more advanced topics.
We will not be implementing models from scratch. Generally, in machine learning, we use certain premade code that applies to most situations. Instead, we'll use premade libraries that allow us to tweak the model with various hyperparameters.
It's okay if you don't know all of these terms, you will learn them all in the course :)
Prerequisites:
Knowledge of basic python/coding (roughly 50 hours): variables, functions, loops, using libraries; of course, you can still join the class without knowing all of this, but it will be much harder to follow along. w3schools.com is a great resource to learn python quickly.
Tutored by
✋ ATTENDANCE POLICY
You must message me, either in a direct message or the group chat, if you will be absent from class. I will excuse all absences, but if you do not let me know beforehand, I will withdraw you from the session.
*I will not withdraw anyone if the session is not full
SESSION 4
14
Dec
SESSION 4
Artificial Intelligence
Artificial Intelligence
Sun 6:00 PM - 7:00 PM UTCDec 14, 6:00 PM - 7:00 PM UTC
Overview of more advanced topics