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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)