Gradient Descent

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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 >>
• Hierarchical Representations: Hierarchical Representations refer to the organization of data or information in a hierarchical structure, where each level of the hierarchy represents a different level of abstraction or detail. In the context of data science and artificia ... Read More >>
• Factor Analysis: Factor Analysis is a statistical method used to identify underlying factors or latent variables that explain the correlations among a set of observed variables. It is a technique used to reduce the complexity of a dataset by identifying the ... Read More >>