✎ machine_learning [the libarynth]

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===Machine Learning===

* various links to prune & absorb > https://pinboard.in/search/u:zzkt?query=machine-learning

===classifier systems===
  * [[crm114 descriminator]]
  * "Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering" >> http://www.cs.cmu.edu/~mccallum/bow/

===reading===
  * "Data Mining: Practical Machine Learning Tools and Techniques (Second Edition)" >> http://www.cs.waikato.ac.nz/~ml/weka/book.html

===in ecology===
  * "Adoption of Machine Learning Techniques in #Ecology and Earth Science. Thessen [2016]" >> https://t.co/D1hOba8AY7
  * "Machine Learning without Tears: A primer for Ecologists. Olden et al [2008]" >> https://t.co/N1l1JKYqqh
  * [[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"]]
  * [[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

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