Steps involved in a Learning System
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Following are the various steps involved in building a Machine Learning System –
- Choose the training experience, i.e. the data that will be used to train the machine learning model. We represent the data in the form of features or attributes.
- Choose the target function to be learned, of which a model would be generated.
- Choose how to represent the target function, also known as the hypothesis. Rich representations are more difficult to learn.
- Choose from a set of algorithms, a learning algorithm to infer the target function.
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