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Thread: Machine learning vs modelling

  1. #1 Machine learning vs modelling 
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    When we model something we might say that the model is in some sense 'like' reality (or observations of it), and so use the model to extrapolate or predict something.

    With machine learning we might try to predict something, say by classification, but in no way do we say the phenomena is 'like' the algorithm.

    Are these reasonable ideas of what modelling and machine learning and their differences are?


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  3. #2  
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    Machine learning is a technology used to enable computers to analyze a set of data and learn from the insights gathered.

    Modeling is the process in which a Neo4j user describes an arbitrary domain as a connected graph of nodes and relationships. From this description, a graph data model is designed to answer questions in the form of Cypher queries.

    My cousin is
    taking Machine learning at "Excelr Solutions" institute to improve himself in Machine learning.


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