Numerical Methods
Numerical methods refer to the techniques used to solve mathematical problems using numerical approximation. These methods are used when analytical solutions are not feasible or when the problem is too complex to be solved analytically. Numerical methods involve the use of algorithms and computer programs to obtain approximate solutions to mathematical problems. These methods are widely used in various fields of science and engineering, including data science and artificial intelligence, to solve problems that involve large amounts of data or complex mathematical models. Some common numerical methods used in data science and artificial intelligence include linear regression, numerical integration, optimization algorithms, and Monte Carlo simulations.
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