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--- machine_learning [2008-02-27 01:54] – created 218.186.8.12
+++ machine_learning [2017-07-11 14:04] – nik
@@ Line 1: / Line 1: @@
+===Machine Learning===
+  * various links to prune & absorb > https://pinboard.in/search/u:zzkt?query=machine-learning
-classifier systems
+===reading===
+  * A 'Brief' History of Neural Nets and Deep Learning. [[http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/|part 1]], [[http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-2/|part 2]], [[http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-3/|part 3]] and [[http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning-part-4/|part 4]]
+  * "Data Mining: Practical Machine Learning Tools and Techniques (Second Edition)" >> http://www.cs.waikato.ac.nz/~ml/weka/book.html
+===classifier systems===
   * [[crm114 descriminator]]
-  * http://www.cs.waikato.ac.nz/~ml/weka/book.html
+  * "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
+  * "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