Knowledge Acquisition
Knowledge Acquisition is the process of extracting and integrating new knowledge into an existing knowledge base. In the context of Data Science and Artificial Intelligence, it refers to the process of acquiring new data and information from various sources, such as databases, sensors, or human experts, and integrating it into an existing knowledge base or machine learning model. This process involves identifying relevant data sources, extracting data, cleaning and preprocessing data, and integrating it into a knowledge representation format that can be used by machine learning algorithms. Knowledge Acquisition is a critical step in building intelligent systems that can learn from data and make accurate predictions or decisions. It is also an ongoing process that requires continuous monitoring and updating of the knowledge base as new data becomes available or the system's performance changes.
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