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Gradient Descent is a widely used optimization algorithm in numerical and statistical computing. It is designed to find the minimum of a function by iteratively moving in the direction of the steepest descent, as defined by the negative gradient. This algorithm is essential for training various machine learning models, especially those involving optimization problems where the goal is to minimize a cost or loss function. Why Other Options are Wrong: b) K-Means Clustering is used for clustering data rather than optimization. c) Decision Trees are used for classification and regression tasks, not for optimization problems. d) Genetic Algorithms are heuristic search algorithms inspired by natural selection and can solve optimization problems but are not as widely used as Gradient Descent for many numerical problems. e) Support Vector Machines (SVM) are used for classification and regression tasks, not specifically for solving optimization problems.
Which molecule carries high-energy electrons to the electron transport chain in the citric acid cycle?
What is the immediate and serious health threat posed by excessive nitrate concentrations in drinking water, especially to infants under 3 months of age?
Back hurt and hollow heart in potato occur due to
Pride of India is a variety of......... crop.
How is the Error Sum of Squares calculated in LSD?
Which of the following is NOT among the main objectives of secondary tillage operations?
What is the MSP of common paddy according to 2018-19?
Which entomopathogens fungus role as biological control agent in cotton bollworm?
Which is not the subject matter of Agricultural Economics?
The stage of mitosis during which the chromosomes condense and become visible is called: