Supervision
What is Supervision?
Supervision, in the context of machine learning, often refers to the process of training a model using labeled data. This means that each data point in the training set has a corresponding label or target variable that the model learns to predict. Supervised learning algorithms use this labeled data to infer a function that maps input features to output labels. Common use cases include classification (assigning data points to categories) and regression (predicting continuous values).
Which job functions mention Supervision?
Which organizations are mentioning Supervision?
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