How does a machine learn from probability?
Concepts & Code - Naive Bayes
Naive Bayes sounds fancy, but the big idea is surprisingly simple: start with what you know, add new evidence, and update what you believe.
What we'll do
By the end, you’ll be able to:
- See how probabilities become predictions
- Understand what makes Naive Bayes naive
- Understand how the concepts translate into code
We go live in...
00
DAYS
00
HOURS
00
MINS
00
SECS
Save your spot
Is this for me?
Yep, if you’re:
- Learning machine learning
- Working with data
- Using ML in grad school, research, or work
- Tired of treating algorithms like black boxes
No ML expertise required. Just bring your curiosity.
Learn Live with Josh
Josh Starmer is the founder of StatQuest and author of The StatQuest Illustrated Guide to Machine Learning and The StatQuest Illustrated Guide to Neural Networks and AI, known for turning intimidating concepts into clear, joyful explanations.
Save your spot!
It's free. Come learn with us.
By registering for this event, you agree to receive emails from us about this event and about future awesome StatQuest happenings. You can unsubscribe anytime.
