Verification

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• Reward Function: In the context of reinforcement learning, a reward function is a mathematical function that maps the state-action pairs of an agent to a scalar value, which represents the desirability of that state-action pair. The goal of the agent is to ... Read More >>
• Feature Scaling: Feature scaling is a technique used in data preprocessing to standardize the range of independent variables or features of a dataset. It is done to ensure that all the features contribute equally to the analysis and to prevent features with ... Read More >>
• Computational Methods: Computational methods refer to the techniques and algorithms used to solve problems in various fields, including data science and artificial intelligence. These methods involve the use of mathematical models and computer simulations to anal ... Read More >>