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There are many machine learning algorithms developed to date. To understand algorithms, the two learning methods of supervised learning and unsupervised learning (see Figure 1.2) need to be understood.

Figure 1.2 Supervised and unsupervised machine learning.

Supervised learning algorithms are often used in machine learning and perform two basic tasks: classification and regression. The output of classification operations is a nominal value, while the output of regression operations is usually a continuous value. Although supervised learning algorithms are often used to diagnose diseases, the field of machine learning is, as we have seen, wider and includes the additional methods we have mentioned, which are used for jobs where supervised learning is insufficient.