forecasting:meeting_minutes_september_21_2020

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.

Authors

Contributing authors:

kmacloves

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

  • forecasting/meeting_minutes_september_21_2020.txt
  • Last modified: 2021/09/19 21:59
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