Curve fitting is a fundamental concept in data analysis and machine learning, where the objective is to identify a mathematical function that best represents or approximates a set of observed data points. The chosen function can take many forms - linear, polynomial, exponential, or even nonlinear models like those used in neural networks, depending on the complexity of the underlying relationship. The core challenge lies in reducing the gap between the actual data points and the predicted curve.
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How does a machine know it’s wrong? It doesn’t guess, it measures. Each error draws a curve, and the gradient shows the path down the hill of mistakes… Until one day, the machine reaches the valley of truth. #MachineLearning #GradientDescent #AI #Artronix #DeepBrainDetective #ArtificialIntelligence #DataScience #LearningToLearn #Innovation | Artronix World
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