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PG Madhavan's Blog – April 2016 Archive (1)

Machine Learning Ontology

Instead of seeing each Machine Learning (ML) method as a “shiny new object”, here is an attempt to create a unified picture. There is no consensus when it comes to an ontology for ML methods; organizational principles are simply ways to get our arms around knowledge so that we are not swamped by too many unconnected notions.


A powerful organization of the concepts or Ontology of ML is based on conditional expectation.




Added by PG Madhavan on April 20, 2016 at 6:11am — 1 Comment

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