** 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)