📚 node [[hyperplane|hyperplane]]
Welcome! Nobody has contributed anything to 'hyperplane|hyperplane' yet. You can:
-
Write something in the document below!
- There is at least one public document in every node in the Agora. Whatever you write in it will be integrated and made available for the next visitor to read and edit.
- Write to the Agora from social media.
-
Sign up as a full Agora user.
- As a full user you will be able to contribute your personal notes and resources directly to this knowledge commons. Some setup required :)
⥅ related node [[hyperplane]]
⥅ node [[hyperplane]] pulled by Agora
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Hyperplane.md by @KGBicheno
hyperplane
Go back to the [[AI Glossary]]
A boundary that separates a space into two subspaces. For example, a line is a hyperplane in two dimensions and a plane is a hyperplane in three dimensions. More typically in machine learning, a hyperplane is the boundary separating a high-dimensional space. Kernel Support Vector Machines use hyperplanes to separate positive classes from negative classes, often in a very high-dimensional space.
I
📖 stoas
- public document at doc.anagora.org/hyperplane|hyperplane
- video call at meet.jit.si/hyperplane|hyperplane
🔎 full text search for 'hyperplane|hyperplane'