Online learning is a common technique used in areas of machine learning where it is computationally infeasible to train over the entire dataset, requiring the need of outofcore algorithms. It is also used in situations where it is necessary for the algorithm to dynamically adapt to new patterns in the data, or when the data itself is generated as a function of time, e.g., stock price prediction .
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