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| machine_learning [2017-07-10 19:10] – theunkarelse | machine_learning [2017-07-14 10:37] – theunkarelse |
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| | ===Machine Learning=== |
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| | * various links to prune & absorb > https://pinboard.in/search/u:zzkt?query=machine-learning |
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| ===classifier systems=== | |
| * [[crm114 descriminator]] | |
| * "Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering" >> http://www.cs.cmu.edu/~mccallum/bow/ | |
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| ===reading=== | ===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 | * "Data Mining: Practical Machine Learning Tools and Techniques (Second Edition)" >> http://www.cs.waikato.ac.nz/~ml/weka/book.html |
| |
| ===in ecology=== | |
| | ===classifier systems=== |
| | * [[crm114 descriminator]] |
| | * "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 | * "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 | * "Machine Learning without Tears: A primer for Ecologists. Olden et al [2008]" >> https://t.co/N1l1JKYqqh |
| * [["What do Buddist Monks Think about the Trolley Problem"|https://www.theatlantic.com/technology/archive/2017/06/how-do-buddhist-monks-think-about-the-trolley-problem/532092/]] | * [[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"]] |
| -see: http://machinewilderness.net | * [[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 and [[environmental machine learning]] |
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