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• Causal Relationship: Causal relationship refers to the relationship between an event (the cause) and a second event (the effect), where the second event is a result of the first. In data science, causal relationships are often studied through causal inference, ... Read More >>
• Gradient Boosting: Gradient Boosting is a machine learning technique that builds an ensemble of weak prediction models, such as decision trees, to create a strong predictive model. It is an iterative process that starts with a simple model and sequentially im ... Read More >>
• Hypersurface: In data science, a hypersurface is a high-dimensional surface that separates data points into different classes or categories. It is a mathematical construct that is used in machine learning algorithms to classify data based on their featur ... Read More >>