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lectures [2014/11/04 17:45] – nicklectures [2014/11/27 17:40] (current) – nick
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   * {{:l13.pdf|Lecture 13 - Support Vector Machines from you tube - Andrew Ng & Pat Winston}}\\      * {{:l13.pdf|Lecture 13 - Support Vector Machines from you tube - Andrew Ng & Pat Winston}}\\   
   * {{:prediction_and_classification_with_k-nearest_neighbors.pdf|Lecture 14 - Prediction and Classification with k-Nearest Neighbors (Yuping Lin)}}\\       * {{:prediction_and_classification_with_k-nearest_neighbors.pdf|Lecture 14 - Prediction and Classification with k-Nearest Neighbors (Yuping Lin)}}\\    
-  * {{:lecture_14c.pdf|Lecture 15 - k-Means Clustering, Outliers and anomaly detection, EM algorithm (Bon Ryu)}}\\    +  * {{:bonryu_clusteranalysis.pdf|Lecture 15 - Clustering, EM algorithm (Bon Ryu)}}\\     
 +  * {{:lecture_14c.pdf|Lecture 15a - k-Means Clustering, Outliers and anomaly detection, EM algorithm}}\\    
   * {{:lecture_16b.pdf|Lecture 16 - Recommendation Systems: Collaborative Filtering}}\\       * {{:lecture_16b.pdf|Lecture 16 - Recommendation Systems: Collaborative Filtering}}\\    
   * {{:lecture_16othera.pdf|Lecture 16 other - Recommendation Systems videos}}\\       * {{:lecture_16othera.pdf|Lecture 16 other - Recommendation Systems videos}}\\    
- +  * {{:slides.pdf|Lecture 17 Graph Mining, Social Network Analysis (Vincent Chu & Darren Rolfe)}}\\     
 +  * {{:mapforum.pdf|Lecture 18a Spatial/Spatio-temporal Data Mining}}\\     
 +  * {{:may-tutorial-sebd-07.pdf|Lecture 18b Tutorial on Geographical and Spatial Data Mining}}\\     
 +  * {{:csdeptfall10.pdf|Lecture 18c Geoinformatics across disciplines}}\\     
 +  * {{:sdm_slide_0903.pdf|Lecture 18d What's so Special about Spatial Data Mining}}\\     
 +  * {{:text-cat-tutorial.pdf|Lecture 19 Text Classification (William Cohen)}}\\     
 +  * {{:{{:lecture_18_ngram_models.pdf|textclassify.pdf}}|Lecture 19a Text Classification (Aijun An)}}\\     
 +  * {{:lec19.pdf|Lecture 19b Text Classification short videos}}\\     
 +  * {{:text_mining.pdf|Lecture 20 Text Mining, Mining the World Wide Web (Van Le)}}\\     
 +  * {{:ensemble.pdf|Lecture 21 Bagging, Boosting and Stacking (Mingbin Xu)}}\\     
 +  * {{:lecture_18_ngram_models.pdf|Lecture 22 n-gram (Bahareh Sarrafzadeh)}}\\     
 +  * {{:ngram.pdf|Lecture 22 (Vlado Keselj)}}\\     
 +  * {{:pacling05.pdf|ngrams}}\\     
 +  * {{:last_class_2.pdf|data mining videos}}\\     
 +  * {{:the_tugboat.pdf|The Tugboat}}\\     
 +  * {{:driving_in_bolivia.pdf|Driving in Bolivia}}\\    
  
  
lectures.1415123142.txt.gz · Last modified: by nick