koneoppimisella
Koneoppiminen, or machine learning, is a subset of artificial intelligence that involves training algorithms to make predictions or decisions without being explicitly programmed. The process begins with a dataset, which is a collection of examples used to train the model. This dataset is fed into a machine learning algorithm, which analyzes the data to identify patterns and relationships. The algorithm then uses these patterns to make predictions or decisions on new, unseen data.
There are several types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Supervised
Machine learning has a wide range of applications, including image and speech recognition, natural language processing,