Scalable

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• Output: Reinforcement Learning is a type of machine learning where an agent learns to behave in an environment by performing certain actions and receiving rewards or penalties in response. The goal of the agent is to maximize the cumulative reward ... Read More >>
• Regularization Parameter: In machine learning, regularization is a technique used to prevent overfitting by adding a penalty term to the loss function. The regularization parameter is a hyperparameter that controls the strength of this penalty term. A higher value o ... Read More >>
• Geocoding: Geocoding is the process of converting a physical address into geographic coordinates (latitude and longitude) that can be used to place markers on a map, or position the map. Geocoding is a fundamental task in location-based services, such ... Read More >>