Computer scienceData scienceMachine learningIntroduction to machine learning

Introduction to machine learning

Going to the models

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What distinguishes a machine learning model from the iterative learning process performed by the ML algorithm?

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The model is a static representation of the data, while the iterative learning process is a dynamic process that continuously updates the parameters of the model

The model is a pre-defined set of rules, while the iterative learning process is the process of updating those rules based on data

The algorithm describes the list of procedures to perform, and the model has both the data and the set of procedures in order to make predictions

The model and the iterative learning process performed by the ML algorithm are the same thing, just described differently

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