Undergraduate Certificate in Essential AI Mathematics
-- ViewingNowThe Undergraduate Certificate in Essential AI Mathematics is a comprehensive course designed to equip learners with fundamental mathematical skills required for Artificial Intelligence (AI) studies. This program emphasizes the importance of mathematical concepts, such as linear algebra, calculus, and probability, in AI development.
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⢠Linear Algebra: Vectors, matrices, determinants, vector spaces, eigenvalues and eigenvectors.
⢠Calculus I: Limits, derivatives, and integrals of functions of one variable.
⢠Calculus II: Multivariable calculus, partial derivatives, multiple integrals, and vector calculus.
⢠Probability and Statistics: Probability distributions, statistical inference, hypothesis testing, and regression analysis.
⢠Discrete Mathematics: Set theory, logic, relations, functions, combinatorics, and graph theory.
⢠Optimization: Linear and nonlinear optimization, gradient descent, and constrained optimization.
⢠Differential Equations: Ordinary differential equations, partial differential equations, and stability analysis.
⢠Numerical Methods: Numerical linear algebra, numerical differentiation and integration, and root-finding algorithms.
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