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machine_learning [2017-07-11 14:04] nikmachine_learning [2017-08-07 21:39] (current) nik
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   * "Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering" >> http://www.cs.cmu.edu/~mccallum/bow/   * "Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering" >> http://www.cs.cmu.edu/~mccallum/bow/
  
-===in ecology=== + 
-  * "Adoption of Machine Learning Techniques in #Ecology and Earth Science. Thessen [2016]" >> https://t.co/D1hOba8AY7 +===misclassifier systems=== 
-  * "Machine Learning without Tears: A primer for Ecologists. Olden et al [2008]" >> https://t.co/N1l1JKYqqh +  * see [[Robust Physical Perturbations]
-  * [[https://www.theatlantic.com/technology/archive/2017/06/how-do-buddhist-monks-think-about-the-trolley-problem/532092/|"What do Buddist Monks Think about the Trolley Problem"]] +  * adversarial methods 
-  * [[https://topdata.news/how-the-random-forest-algorithm-works-in-machinelearning/|"How The Random Forest Algorithm Works In Machine Learning"]] + 
-  * [[https://quantdare.com/random-forest-many-is-better-than-one/|"Random Forest: Many Is Better Than One"]] + 
--see: http://machinewilderness.net+ 
 +see also: [[environmental machine learning]]
  
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