forecasting:meeting_minutes_september_7_2016

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forecasting:meeting_minutes_september_7_2016 [2016/09/08 03:46]
jobatake
forecasting:meeting_minutes_september_7_2016 [2021/09/19 21:59]
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- *** 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) 
  
  • forecasting/meeting_minutes_september_7_2016.txt
  • Last modified: 2021/09/19 21:59
  • (external edit)