Attended: Josh, Keola

• Started section 9 of the course: Support Vector Regression (SVR).
• Topics learned: SVR and Support Vector Machines.

• COVID-19 forced today's lab hours to be online

• Support Vector Regression (SVR) uses a hyper plane to stratify data and features.
• The hyper plane is created with a regression model and is paired with the data points (known as the support vectors) which create a margin.
• Points within the margins are ignored because (similar to noise) we want to select data that accurately represents the features.

Contributing authors:

Created by kmacloves on 2020/09/21 18:43.