(Created page with "Category:tutorial Category:slecture Category:machine learning <center><font size= 4> '''Machine Learning''' </font size> <font size= 2> [htt...")
 
 
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*[[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures|The Boutin Lectures on Statistical Pattern Recognition, 2014]]
 
*[[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures|The Boutin Lectures on Statistical Pattern Recognition, 2014]]
 
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==Slectures by Topics==
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==Featured Video Slectures==
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*[[Slecture_optimality_bayes_decision_rule_michaux_ECE662S14|Optimality of Bayes Decision Rule]], by Aaron Michaux
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::<youtube>xsnPjgeAj3A</youtube>
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*[[Convergence_of_the_Maximum_Likelihood_Estimator_over_Multiple_Trials|Maximum Likelihood Estimation]], by Spencer Carver
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::<youtube>uw4GkTm5o3k</youtube>
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*[[Pca_khalid| Use of PCA for Dimensionality Reduction in the Context of Pattern Recognition]], by Khalid Tahboud
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::<youtube>TB_9tRmOZqo</youtube>
 
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[[Machine_learning|Back to "machine learning" topic]]
 
[[Machine_learning|Back to "machine learning" topic]]

Latest revision as of 12:14, 27 March 2015


Machine Learning

Slectures


Slectures by instructor/semester


Featured Video Slectures


Back to "machine learning" topic

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett