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• Gradient-based Methods: Gradient-based methods are optimization algorithms used in machine learning and data science to find the minimum of a cost function by iteratively adjusting the parameters of a model. These methods use the gradient of the cost function with ... Read More >>
• Web Development Frameworks: Web Development Frameworks are pre-written, standardized code libraries that provide a structure and set of guidelines for developing web applications. These frameworks provide a foundation for developers to build upon, allowing them to foc ... Read More >>
• Predictive Model: A predictive model is a statistical or machine learning algorithm that is trained on historical data to make predictions about future events or behaviors. The model uses input variables, also known as features, to generate an output variabl ... Read More >>