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forecasting:meeting_minutes_february_2_2017 [2017/02/03 04:15] tbesas |
forecasting:meeting_minutes_february_2_2017 [2021/09/19 21:59] (current) |
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| =====Updates===== | =====Updates===== | ||
| - | * Continued our discussion on Least Squares or Linear Regression Algorithm | + | * We continued to go through the code step by step explaining how the code works and why we did things the way we did |
| - | * Went over algorithm process | + | * Explained normalization |
| - | * Went through code from last semester | + | * Implementation of |
| - | + | * Taps | |
| - | Meeting with Sayyed | + | * Least Squares |
| - | * Plans for future | + | * Error Detection |
| - | * Continue with Least Squares Code & Algorithm | + | |
| - | * Recursive Least Squares - Online Algorithm | + | |
| - | * Can use UC Irvine Machine Learning Repository for additional data sets | + | |
| - | + | ||
| - | + | ||
| - | Meeting with Dr. Kuh | + | |
| - | * Reviewed what we have covered so far | + | |
| - | * Current Task | + | |
| - | * Catch up group | + | |
| - | * Batch LS | + | |
| - | * Code | + | |
| - | * iPython | + | |
| - | * Learn Online Algorithms & implement on iphython | + | |
| - | * LMS (simple) | + | |
| - | * Recursive Least Squares | + | |
| - | * Documentation & Robust, Usable Code | + | |
| - | * Easy to use, simple inputs | + | |
| - | * Potential Future Plans? (can talk about in presentation as potential future topics) | + | |
| - | * Feature Extraction & Principle Component Analysis & Clustering | + | |
| - | * Un-supervised | + | |
| - | * Non linear | + | |
| - | //Dr. Kuh will be back on Feb 10-15// | + | |
| =====Problems===== | =====Problems===== | ||
| - | * none | + | * Life :P |
| =====Reminders===== | =====Reminders===== | ||
| - | * //Dr. Kuh will be back on Feb 10-15// | + | * //Career Day is on 2/22/2017// |
| - | * //Presentation on Saturday February 11, 2017 | + | * //Dr. Kuh will be back on Feb (10-15), 2017// |
| + | * //Presentation on Saturday February 11, 2017// | ||