Data Structures

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• Input: 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. The goal of the agent is to learn the optimal policy, which is a mappi ... Read More >>
• Content-based Filtering: Content-based filtering is a technique used in recommender systems that recommends items to users based on their past preferences and interests. It works by analyzing the attributes of items that a user has liked or interacted with in the p ... Read More >>
• Ethical AI Design: Ethical AI Design refers to the practice of creating artificial intelligence (AI) systems that adhere to ethical principles and values. It involves the consideration of moral implications and potential societal impacts during the design and ... Read More >>