From personal use

• PIM page categorization
  • cf several proposa on how to keep the PIM plastic yet scalable
  • defining features on each page
    • incoming links
    • potential internal links (anchors)
    • titles (e.g. /^!/)
    • bags of words
• AuctionPricing
  • importance of feature selection

See also

• MLClass
• OpenCV for Wikipedia:Haar-like features
• Octave used in MLClass
• WatchingNotes#MachineLearningCS229
• WatchingNotes#UnsupervisedFeatureLearningAndDeepLearning
• Mathematics
  • Mathematics#Statistics
  • Mathematics#ProbabilityDistributions
  • Mathematics#MachineLearning
• Seedea:Seedea/DATAmatrix listing datasets
• Seedea:Seedea/AImatrix listing AI techniques, including ML repository, e.g. MLOSS and MLcomp
• http://seeks-project.info/wiki/index.php/Veille_Services_Machine_Learning
• read books
  • ArtificialIntelligenceAModernApproach#Chapter18
  • ProgrammingForPeace
  • IntelligentBio esp. Chapter5 on clustering and Chapter7 on neural networks

To explore

• http://hunch.net
• http://www.quora.com/Machine-Learning
• http://mldata.org

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Note

My notes on Tools gather what I know or want to know. Consequently they are not and will never be complete references. For this, official manuals and online communities provide much better answers.

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Machine Learning

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