leeralgoritme
A leeralgoritme, also known as a learning algorithm, is a computational method used in machine learning to enable a computer system to learn from data. These algorithms are designed to identify patterns and make decisions with minimal human intervention. They fall into two main categories: supervised learning and unsupervised learning.
Supervised learning algorithms use labeled data, meaning the input data is paired with the correct output.
Unsupervised learning algorithms, on the other hand, work with unlabeled data. They aim to find hidden patterns
Reinforcement learning is another type of learning algorithm that involves an agent learning to make decisions
Leeralgoritmes are fundamental to the development of intelligent systems and have applications in various fields, including