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• Anomalies Detection: Anomalies detection is the process of identifying data points that deviate from the expected pattern or behavior of a given dataset. In data science and artificial intelligence, anomalies detection is used to identify outliers, errors, or u ... Read More >>
• Subatomic Particles: Subatomic particles are particles that are smaller than atoms. In the context of data science and artificial intelligence, subatomic particles are used in quantum computing. Quantum computing is a type of computing that uses quantum bits (q ... Read More >>
• Accountability: In the context of Data Science and Artificial Intelligence, accountability refers to the responsibility of individuals, organizations, and algorithms for the decisions and actions they take based on data-driven insights. It involves ensurin ... Read More >>