Where should the line go?
Concepts & Code - Support Vector Machines
If you want to separate two groups of data, there can be a lot of places to draw the line. So how does a machine decide where it should go? That question is at the heart of Support Vector Machines.
Join Josh Starmer to build up the intuition behind SVMs step by step, and see the concepts in code.
What we'll do
By the end, you’ll be able to:
- See what a Support Vector Machine is trying to do
- Understand where the decision boundary comes from
- Make sense of margins and support vectors
- Put the whole thing to work in code
We go live in...
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Is this for me?
Definitely, if one of the following describes you:
- Learning machine learning
- Working with data
- Using ML for graduate school or research
- Looking at SVMs and thinking, “But why that line?”
You don't need to be familiar with SVMs already.
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.
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Let's figure out where that line should go.
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