=====Forecasting Team Meeting - August 30, 2016=====
**Attended: Dr.Kuh, Seyyed, Brieanna, Jaimie, Gordon, Masaki**

=====Updates=====
  * Proposal for presentation:
    * Understanding data
      * Mean vectors
      * Covariance matrices
      * Representation of data
      * Sampling/filtering
    * Machine learning algorithms
      * Feature extraction
      * Clustering
      * Principle component analysis (PCA)
    * Linear regression
      * Least squares' algorithm
    * Online learning
      * Recursive least squares (RLS)
      * Least mean squares (LMS)
    * Tools for learning
      * Validation
      * Regularization
    * Getting working, documented code in Python
    * Calibration of data
    * Interface data to UHM dashboard
  * Introduction to tap filters and correlation matrices

=====Problems=====
  * none

=====Reminders=====
  * none