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Data Mining with WekaMOOCs from the home of Weka: University of Waikato, New Zealand
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MOOCs from the home of Weka: University of Waikato, New Zealand
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MOOCs from the home of Weka: University of Waikato, New Zealand
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Data Mining with Weka: October 2014
http://wekamooc.blogspot.com/2014_10_01_archive.html
Data Mining with Weka. MOOCs from the home of Weka: University of Waikato, New Zealand. Tuesday, 28 October 2014. Class 2 is now available. The six lessons for Class 2 are now available on the course website:. Https:/ weka.waikato.ac.nz/. The mid-course assessment, following Class 2, is also available. Following that, there are 3 weeks to go (classes 3, 4 and 5). The activities are a crucial part of the course: they're where most people will do their actual learning! Http:/ www.cs.waikato.ac&...Monday, 2...
Data Mining with Weka: Welcome to "Advanced Data Mining with Weka"
http://wekamooc.blogspot.com/2016/04/welcome-to-advanced-data-mining-with.html
Data Mining with Weka. MOOCs from the home of Weka: University of Waikato, New Zealand. Monday, 25 April 2016. Welcome to "Advanced Data Mining with Weka". Welcome to the course " Advanced. Data Mining with Weka". The six lessons for Class 1 are now available on the course website:. Https:/ weka.waikato.ac.nz/advanceddataminingwithweka/. We will release classes 2, 3, 4, and 5 on Mondays (NZ time) in the upcoming weeks, and send reminder announcements. Weka 3.8 has just been released and y. Please subscri...
Data Mining with Weka: June 2015
http://wekamooc.blogspot.com/2015_06_01_archive.html
Data Mining with Weka. MOOCs from the home of Weka: University of Waikato, New Zealand. Monday, 29 June 2015. Class 5 is now available. The lessons for Class 5, the last in our course, are now available on the course website:. Https:/ weka.waikato.ac.nz/. The post-course assessment is also now open. The videos, slides and transcripts will remain available at YouTube, Youku and the "Materials" site:. Http:/ www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/. We aim to run both the introductory cour...
Data Mining with Weka: Class 4 is now available
http://wekamooc.blogspot.com/2016/05/class-4-is-now-available.html
Data Mining with Weka. MOOCs from the home of Weka: University of Waikato, New Zealand. Monday, 16 May 2016. Class 4 is now available. The six lessons for Class 4 are now available on the course website:. Https:/ weka.waikato.ac.nz/advanceddataminingwithweka. The Application lesson 4.6 shows you how to use Weka for image processing, by creating all sorts of different feature sets for your images using the imageFilter pac kage. Next week is the last. Pretty soon you will be a certified.
Data Mining with Weka: Class 2 is now available
http://wekamooc.blogspot.com/2016/05/class-2-is-now-available.html
Data Mining with Weka. MOOCs from the home of Weka: University of Waikato, New Zealand. Monday, 2 May 2016. Class 2 is now available. The six lessons for Class 2 are now available on the course website:. Https:/ weka.waikato.ac.nz/advanceddataminingwithweka. The mid-course assessment, which covers the material up to and including. Class 2, is also available. Following that, there are 3 weeks to go (classes 3, 4 and 5). L you must do to get the Statement of Completion. Weka's big sister. MOA's algorit...
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pl:dydaktyka:ml:start [aiWiki]
http://ai.ia.agh.edu.pl/wiki/pl:dydaktyka:ml:start
KRR - Reprezentacja wiedzy. ML - Uczenie maszynowe. WSHOP - Pracownia Problemowa. AML - Inteligentne Technologie Mobilne. Rules - Regułowe wspomaganie decyzji. SemWeb - Semantic Web Technologies. Games - Gry i sztuczna inteligencja. Wstęp do systemów uniksowych. Języki i Metody Programowania 2. 2 i 3 rok. AI: Podstawy Sztucznej Inteligencji. Systemy i technologie wirtualizacji. Prace Mgr, Inz, etc. Geist Season of Code. Ramowy plan wykładu 2016. Cambridge University Press, 2012. TML] T. Mitchell. Https:/...
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Data Mining with Weka
Data Mining with Weka. MOOCs from the home of Weka: University of Waikato, New Zealand. Monday, 4 July 2016. All three Weka MOOCs available as self-paced courses. All three MOOCs ("Data Mining with Weka", "More Data Mining with Weka" and "Advanced Data Mining with Weka") are now available on a. Self-paced basis. All the material, activities and assessments are available from now until 24th September 2016 at:. Https:/ weka.waikato.ac.nz/. Providing any tutorial, help or assistance during this session.
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