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The Gradient Descent algorithm has numerous variants, each developed to address specific issues or improve performance under certain conditions
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Linear regression is a fundamental machine learning algorithm used to predict a continuous target variable based on one or more input features. PyTorch is a popular deep learning library that can be used to implement linear regression models efficiently.
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Gradient Descent is an optimization algorithm used to minimize the loss function in machine learning and deep learning models. It is an iterative process that helps find the optimal parameters (weights) for a given model by minimizing the loss function.
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Linear regression is one of the simplest and most widely used algorithms for predictive modeling. It models the relationship between a dependent (target) variable and one or more independent (input) variables by fitting a linear equation to the observed data
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Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on building systems that can learn from and make decisions based on data