Maskinlæringsoppgaver
Maskinlæringsoppgaver refers to the various problems or objectives that machine learning algorithms are designed to solve. These tasks can be broadly categorized into several types, each with its own set of techniques and applications.
One primary category is supervised learning, where the algorithm learns from a labeled dataset. Common supervised
Another significant category is unsupervised learning. Here, the algorithm works with unlabeled data, aiming to discover
Reinforcement learning is a third major type, where an agent learns to make decisions by taking actions
A related but distinct area is semi-supervised learning, which uses a small amount of labeled data along
The choice of machine learning task dictates the type of algorithm, data preprocessing, and evaluation metrics