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• Decision Boundary: In machine learning, a decision boundary is a hypersurface that separates the input space into different classes. It is a mathematical function that maps the input features to class labels. The decision boundary is learned during the traini ... Read More >>
• Statistical Algorithms: Statistical algorithms are a set of procedures used to analyze and interpret data in order to extract meaningful insights. These algorithms are designed to identify patterns, trends, and relationships within the data, and to make prediction ... Read More >>
• Causal Inference: Causal inference is the process of drawing a conclusion about a causal relationship based on the evidence available. In data science, causal inference is used to determine whether a particular treatment or intervention has a causal effect o ... Read More >>