👉 The term "supervised" refers to a situation where a machine learning model is trained on labeled data, meaning that it has been given explicit instructions and can be used for prediction or classification tasks. In supervised learning, the model is designed to learn from the training data, which includes both input variables (such as features) and output variables (such as labels). The goal of supervised learning is to find a mapping between the inputs and outputs that maximizes the performance on the training set, while minimizing
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What is the definition of Presupervise? 🙋
👉 Presupervision is an act of ensuring that someone else's actions or decisions are carried out, without any direct control over them. It involves monitoring and supervising others to ensure they follow established procedures or guidelines. Presupervision can be seen as a necessary component in maintaining order and stability within organizations, particularly when there is a lack of clear authority or guidance. It helps to prevent chaos by ensuring that everyone is aware of the expectations and responsibilities that come with their position, thereby reducing potential
