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forecasting:meeting_minutes_september_27_2016 [2016/09/28 03:27]
jobatake
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
Line 28: Line 33:
 ===== 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 34: Line 39:
      * Linear threshold function: Hyperplane separating data (0 | 1)      * Linear threshold function: Hyperplane separating data (0 | 1)
        * 2 items from 1 item = possible        * 2 items from 1 item = possible
- * Unsupervised Learning: +  ​* Unsupervised Learning: 
-   ​* Cluster +    * Cluster 
-   ​* PCA +    * PCA 
- * Support Vector Machines: +  * Support Vector Machines: 
-   ​* Non-linear +    * Non-linear 
- * 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 =====
  
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