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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] |
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| - | =====Forecasting Team Meeting - February 2, 2017===== | ||
| - | **Attended: Brieanna, Tyrin-Neal, Grant** | ||
| - | =====Updates===== | ||
| - | * Continued our discussion on Least Squares or Linear Regression Algorithm | ||
| - | * Went over algorithm process | ||
| - | * Went through code from last semester | ||
| - | |||
| - | Meeting with Sayyed | ||
| - | * Plans for future | ||
| - | * 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// | ||
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| - | =====Problems===== | ||
| - | * none | ||
| - | |||
| - | =====Reminders===== | ||
| - | * //Dr. Kuh will be back on Feb 10-15// | ||
| - | * //Presentation on Saturday February 11, 2017 | ||