Index of /~dkauchak/classes/f13/cs451-f13/lectures

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory  -  
[DIR]hadoop_demos/2015-06-23 14:09 -  
[   ]lecture1-introduction.pdf2013-09-10 10:45 1.1M 
[   ]lecture1-introduction.pptx2013-09-10 10:45 1.2M 
[   ]lecture2-decision_trees.pdf2013-10-17 14:04 520K 
[   ]lecture2-decision_trees.pptx2013-10-17 14:04 497K 
[   ]lecture3-decision_trees2.pdf2013-09-13 09:19 550K 
[   ]lecture3-decision_trees2.pptx2013-09-13 09:19 665K 
[   ]lecture4-geometric_view.pdf2013-09-16 09:51 1.3M 
[   ]lecture4-geometric_view.pptx2013-09-16 09:51 1.4M 
[   ]lecture5-perceptron.pdf2013-09-19 12:35 654K 
[   ]lecture5-perceptron.pptx2013-09-19 12:35 1.6M 
[   ]lecture6-perceptron2.pdf2013-10-17 14:08 800K 
[   ]lecture6-perceptron2.pptx2013-10-17 14:08 1.9M 
[   ]lecture7-features.pdf2013-09-25 12:09 490K 
[   ]lecture7-features.pptx2013-09-25 12:09 538K 
[   ]lecture8-features2.pdf2013-09-28 14:42 260K 
[   ]lecture8-features2.pptx2013-09-28 14:42 534K 
[   ]lecture9-evaluation.pdf2013-09-27 09:29 431K 
[   ]lecture9-evaluation.pptx2013-09-27 09:29 474K 
[   ]lecture10-imbalanced.pdf2013-09-30 09:29 627K 
[   ]lecture10-imbalanced.pptx2013-09-30 09:29 859K 
[   ]lecture11-multiclass.pdf2013-10-02 13:59 807K 
[   ]lecture11-multiclass.pptx2013-10-02 13:59 745K 
[   ]lecture12-multiclass2.pdf2013-10-06 12:15 485K 
[   ]lecture12-multiclass2.pptx2013-10-06 12:15 494K 
[   ]lecture13-ranking.pdf2013-10-07 09:30 640K 
[   ]lecture13-ranking.pptx2013-10-07 09:30 704K 
[   ]lecture14-gradient_descent.pdf2013-10-24 11:52 1.2M 
[   ]lecture14-gradient_descent.pptx2013-10-24 11:52 2.5M 
[   ]lecture15-regularization.pdf2013-10-25 11:09 2.1M 
[   ]lecture15-regularization.pptx2013-10-25 11:09 4.0M 
[   ]lecture16-large_margin.pdf2013-10-15 10:21 414K 
[   ]lecture16-large_margin.pptx2013-10-15 10:21 1.4M 
[   ]lecture17-soft_margin.pdf2013-10-16 09:36 970K 
[   ]lecture17-soft_margin.pptx2013-10-16 09:36 3.2M 
[   ]lecture18-svm_lab.pdf2013-10-18 08:57 111K 
[   ]lecture19-probability.pdf2013-10-23 09:15 652K 
[   ]lecture19-probability.pptx2013-10-23 09:15 928K 
[   ]lecture20-probabilistic_models.pdf2013-10-25 11:05 615K 
[   ]lecture20-probabilistic_models.pptx2013-10-25 11:05 1.2M 
[   ]lecture21-probabilistic_models2.pdf2013-10-28 13:35 958K 
[   ]lecture21-probabilistic_models2.pptx2013-10-28 13:35 2.1M 
[   ]lecture22-logistic_regression.pdf2014-01-08 08:22 1.3M 
[   ]lecture22-logistic_regression.pptx2014-01-08 08:22 3.1M 
[   ]lecture23-hadoop.pdf2013-11-01 09:26 585K 
[   ]lecture23-hadoop.pptx2013-11-01 09:26 793K 
[TXT]lecture24-hadoop_basics.html2013-11-04 10:08 16K 
[TXT]lecture25-mapreduce.html2013-11-06 14:51 13K 
[   ]lecture26-mapreduce_lab.pdf2013-11-08 06:32 390K 
[TXT]lecture27-mapreduce_parameters.html2013-11-11 09:18 5.9K 
[   ]lecture29-ensemble_learning.pdf2013-11-18 11:21 402K 
[   ]lecture29-ensemble_learning.pptx2013-11-18 11:21 549K 
[   ]lecture30-boosting.pdf2013-11-24 09:19 2.2M 
[   ]lecture30-boosting.pptx2013-11-24 09:19 3.0M 
[   ]lecture31-kmeans.pdf2013-11-25 09:48 2.0M 
[   ]lecture31-kmeans.pptx2013-11-25 09:48 2.5M 
[   ]lecture32-kmeans2.pdf2013-12-02 09:58 652K 
[   ]lecture32-kmeans2.pptx2013-12-02 09:58 1.0M 
[   ]lecture33-clustering.pdf2013-12-04 10:34 1.0M 
[   ]lecture33-clustering.pptx2013-12-04 10:34 1.3M 

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