How Machines Learn: The Power of Gradient Descent

Understanding the Principles, Challenges, and Applications of Gradient Descent

Introduction to Gradient Descent

Gradient descent is a fundamental optimization algorithm used in machine learning and data science to find the optimal values of the parameters in a model. The basic idea behind gradient descent is to iteratively adjust the model parameters in the direction of the steepest descent of the cost function, which measures the difference between the predicted outputs and the actual outputs. By …

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