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forecasting:meeting_minutes_september_27_2016 [2016/09/28 03:28] jobatake [Machine Learning] |
forecasting:meeting_minutes_september_27_2016 [2021/09/19 21:59] (current) |
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| ====== Forecasting Meeting Minutes for Week of September 27, 2016 ====== | ====== Forecasting Meeting Minutes for Week of September 27, 2016 ====== | ||
| - | ** Present: Gordon, Brieanna, Jaimie ** | + | ** Present Tuesday: Gordon, Brieanna, Jaimie ** |
| + | |||
| + | ** Present Thursday: Gordon, Brieanna, Jaimie, Austin ** | ||
| ===== Updates ===== | ===== Updates ===== | ||
| * More coordination with Seyyed | * More coordination with Seyyed | ||
| + | |||
| + | ===== Meeting with Dr. Kuh ===== | ||
| ===== Expectations ===== | ===== Expectations ===== | ||
| * 1. Well documented code | * 1. Well documented code | ||
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| ===== Machine Learning ===== | ===== Machine Learning ===== | ||
| Know linear, unsupervised and classification | Know linear, unsupervised and classification | ||
| - | * 2 types of algorithms: | + | * 2 types of algorithms: |
| * Regression/Estimation | * Regression/Estimation | ||
| * Classification (binary/descrete)/Detection | * Classification (binary/descrete)/Detection | ||
| Line 41: | Line 46: | ||
| * Multi-learning networks: | * Multi-learning networks: | ||
| * Deep learning | * Deep learning | ||
| - | * Andrew Ing coursera | + | * Andrew Ng coursera |
| + | |||
| + | ===== Group Progress ===== | ||
| + | * Worked on implementation of Recursive Algorithm | ||
| + | * Compared computation time with Regression | ||
| + | * Derived relationship between samples and computation time for algorithms | ||
| ===== Reminders ===== | ===== Reminders ===== | ||