forecasting:meeting_minutes_september_7_2016

Present: Gordon, Brieanna, Jaimie, Austin

* Brieanna took notes on Dr. Kuh’s vision for our team for the semester (2016-8-30, Tuesday) * Proposal for presentation:

  • Data Processing:
    • Understanding data
    • Mean vectors
    • Covariance matrices
    • Representation of data
    • Sampling/filtering
  • Machine learning algorithms:
    • Feature extraction
    • Clustering
    • Principle component analysis (PCA)
  • Offline:
    • Linear regression
    • Least squares’ algorithm
  • Online:
    • Recursive least squares (RLS)
    • Least mean square (LMS)
  • Tools for learning
    • Validation
    • Regularization
    • Getting working, documented code in Python
    • Calibration of data
    • Interface data to UHM dashboard

* Topics:

  • Meetup to create first Proposal Presentation for this Saturday
  • Using Dr. Kuh’s initial vision for our proposal presentation

* PPT Sections:

  • Using {2016-8-31 Meeting Notes} 3 goals?

* Next Time… Continue:

  • Stopped at:
    • Potential Problems
    • Plans to Complete [Goals]
  • Meetup to continue work on the presentation (tomorrow, 2016-9-7, Wednesday)

Authors

Contributing authors:

jobatake

Created by jobatake on 2016/09/08 03:31.

  • forecasting/meeting_minutes_september_7_2016.txt
  • Last modified: 2021/09/19 21:59
  • (external edit)