forecasting:meeting_minutes_january_31_2017

Attended: Brieanna, Tyrin-Neal, Grant

Met with Sayyed

Met with Dr. Kuh via Skype

  • Continued our discussion on Least Squares or Linear Regression Algorithm
  • Went over algorithm process
  • Went through code from last semester

Meeting with Sayyed

  • Plans for future
    • Continue with Least Squares Code & Algorithm
    • Recursive Least Squares - Online Algorithm
    • Can use UC Irvine Machine Learning Repository for additional data sets

Meeting with Dr. Kuh

  • Reviewed what we have covered so far
  • Current Task
    • Catch up group
      • Batch LS
      • Code
      • iPython
  • Learn Online Algorithms & implement on iphython
    • LMS (simple)
    • Recursive Least Squares
  • Documentation & Robust, Usable Code
    • Easy to use, simple inputs
  • Potential Future Plans? (can talk about in presentation as potential future topics)
    • Feature Extraction & Principle Component Analysis & Clustering
    • Un-supervised
    • Non linear

Dr. Kuh will be back on Feb 10-15

  • none

Authors

Contributing authors:

bsundberg gliu

Created by bsundberg on 2017/02/01 02:48.

  • forecasting/meeting_minutes_january_31_2017.txt
  • Last modified: 2021/09/19 21:59
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