Supervised learning belongs to the fields of Artificial Intelligence, Big Data and Smart Data, as well as Digital Transformation. It refers to a method of machine learning where computers learn from existing, already classified data. <\/p>\n
Imagine you want to teach a computer to distinguish between cat and dog photos. To do this, you show it many pictures labelled as \u201ecat\u201c or \u201edog\u201c. The computer looks for patterns in these examples - perhaps in the ears, snout, or fur texture. Once enough examples have been processed, it can independently classify new, unknown images.<\/p>\n
Supervised learning is often used in everyday life, for example in the automatic detection of spam emails, in online shop recommendations, or in recognising fraud patterns in the financial sector. <\/p>\n
The advantages: With this approach, the computer can take on many tasks where rules are difficult to define \u2013 it simply learns them from experience with existing data. Supervised learning is therefore a fundamental building block of modern applications within digital transformation and artificial intelligence.<\/p>","protected":false},"excerpt":{"rendered":"