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• Cost-sensitive Learning: Cost-sensitive learning is a machine learning approach that takes into account the cost of misclassification errors. In traditional machine learning, the goal is to minimize the overall error rate, regardless of the cost of different types ... Read More >>
• Policy-based Methods: Policy-based methods are a class of reinforcement learning algorithms that directly learn a policy, which is a mapping from states to actions, without computing a value function. These methods optimize the policy by iteratively updating the ... Read More >>
• Continuous Flow: Continuous Flow is a data processing methodology that involves the continuous and automated processing of data in real-time or near real-time. It is a data processing approach that enables the processing of data as soon as it is generated, ... Read More >>