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• Bayesian Optimization: Bayesian Optimization is a probabilistic approach to global optimization of black-box functions that are expensive to evaluate. It uses a probabilistic surrogate model to approximate the objective function and an acquisition function to dec ... Read More >>
• Color: In Data Science, color refers to the visual perception of different wavelengths of light. Color is an important aspect of data visualization as it can be used to represent different categories or values in a dataset. Color can also be used ... Read More >>
• Dimensionality Reduction: Dimensionality reduction is the process of reducing the number of features or variables in a dataset while retaining as much information as possible. This is done by transforming the data from a high-dimensional space to a lower-dimensional ... Read More >>