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forecasting:meeting_minutes_january_17_2017 [2017/01/18 02:10] tbesas created |
forecasting:meeting_minutes_january_17_2017 [2021/09/19 21:59] (current) |
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| =====Updates===== | =====Updates===== | ||
| - | * Proposal for presentation: | + | * First meeting of the semester! |
| - | * Understanding data | + | * Downloaded iPython & Jupyter |
| - | * Mean vectors | + | * Ran through the tutorial |
| - | * Covariance matrices | + | * Reviewed concepts from last semester |
| - | * Representation of data | + | * Went over the block diagram and data processing procedures |
| - | * 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===== | =====Problems===== | ||
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| =====Reminders===== | =====Reminders===== | ||
| - | * none | + | * Still need to set hours! |