How does a machine learning model training work?

Question

Can anyone explain how does a machine learning model training work?

Answer 1

 

The way machine learning operates is comparable to the way traditional statistical modelling operates. There are different ways to train a model. A set of input samples, referred to as features, and a set of output values, referred to as labels, are used in the training of a machine learning model. The goal of a machine learning model is to predict an output using these features. If you are interested in learning more about this technology I will suggest this Machine Learning online Course offered by Intellipaat. This training help you to become a certified machine learning expert with all the required skills.

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