6 Supervised Learning
The previous chapter discussed unsupervised learning. This chapter is a formal introduction to supervised learning. Supervised learning or supervised machine learning is a subcategory of machine learning (ML) and artificial intelligence (AI). In supervised learning a labeled dataset is used to train the algorithms to classify and to predict the outcomes of unlabeled instances. Based on the input data the parameters of the model get adjusted until the fit is appropriate, which occurs as part of the cross-validation process.
Supervised learning helps organization to solve a variety of real-world problems that require classification. In this chapter, we will discuss four important classification ...
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