machineleermodelle
Machine learning models are algorithms that enable computers to learn from and make predictions or decisions based on data. They are a subset of artificial intelligence and are used in a wide range of applications, from image and speech recognition to natural language processing and recommendation systems. Machine learning models can be broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning models are trained on labeled data, meaning that the input data is paired with the
Unsupervised learning models, on the other hand, are trained on unlabeled data and aim to find hidden
Reinforcement learning models learn to make decisions by interacting with an environment and receiving rewards or
Machine learning models are typically evaluated using metrics such as accuracy, precision, recall, and F1 score