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• Heisenberg Uncertainty Principle: The Heisenberg Uncertainty Principle is a fundamental concept in quantum mechanics that states that the more precisely the position of a particle is known, the less precisely its momentum can be known, and vice versa. In other words, the mo ... Read More >>
• Dispersion: Dispersion refers to the extent to which a dataset is spread out or varies. In data science, dispersion is a measure of the variability or spread of a dataset. It is often used to describe the distribution of a dataset and can be measured u ... Read More >>
• Non-repudiation: Non-repudiation is a concept in data science and artificial intelligence that refers to the ability to ensure that a party cannot deny the authenticity or integrity of a message or transaction that they have sent or received. This is typica ... Read More >>