Present: Gordon, Brieanna, Jaimie, Austin, Masaki

• 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?

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

Contributing authors:

Created by jobatake on 2016/09/08 03:50.