Optimization Algorithms
Optimization algorithms are a set of mathematical procedures that are used to find the best solution or set of solutions to a problem. In data science and artificial intelligence, optimization algorithms are used to find the optimal values of parameters for a given model or system. These algorithms can be used to minimize or maximize a function, subject to a set of constraints. Optimization algorithms are used in a wide range of applications, including machine learning, computer vision, natural language processing, and robotics. Some common optimization algorithms used in data science and artificial intelligence include gradient descent, stochastic gradient descent, Adam, Adagrad, and RMSprop.
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