====== Forecasting Meeting Minutes for September 6, 2016 ====== 
** Present: Gordon, Brieanna, Jaimie, Austin, Masaki **

===== Updates =====
   * Worked on proposal for presentation:
     * Possible topics to cover
     * 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?

===== Reminders =====
  * Next Time... Continue:
    * Stopped at:
      * Potential Problems
      * Plans to Complete [Goals]
  * Meetup to continue work on the presentation (tomorrow, 2016-9-7, Wednesday)