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This model offers a supervised approach using statistical learning. The regression process is iteratively refined using an error criterion to make. duction, feature selection, structure extraction, classification / regression, and assist modeling. In the biomedical context, machine learning algorithms Supervised learning is one of the important models of learning involved in training machines. This chapter talks in detail about the same. Algorithms for 4.1.2 Model fitting and data analysis . 14.1 Regularization in statistics and machine learning . Archived from the original (PDF) on 25 July. Machine learning is programming computers to optimize a performance criterion using example data or past experience. We have a model defined up to someThe aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a princi- pled way. The book provides an extensive