Undergraduate Certificate in Advanced AI Mathematics
-- ViewingNowThe Undergraduate Certificate in Advanced AI Mathematics is a comprehensive course designed to equip learners with fundamental mathematical concepts required for advanced Artificial Intelligence (AI) studies. This program highlights the importance of mathematics in AI by diving into critical areas such as linear algebra, calculus, probability, and statistics.
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โข Calculus III: Multivariable calculus, partial derivatives, multiple integrals, and vector calculus.
โข Linear Algebra: Vector spaces, matrix algebra, determinants, and eigenvalues.
โข Probability Theory: Random variables, probability distributions, expectation, and conditional probability.
โข Statistical Inference: Hypothesis testing, confidence intervals, maximum likelihood estimation, and Bayesian inference.
โข Optimization: Linear, quadratic, and nonlinear optimization, Lagrange multipliers, and convex optimization.
โข Discrete Mathematics: Set theory, logic, relations, graphs, and trees.
โข Numerical Analysis: Numerical differentiation, integration, interpolation, and root-finding algorithms.
โข Machine Learning Theory: Supervised, unsupervised, and reinforcement learning, bias-variance trade-off, and model selection.
โข Deep Learning Theory: Neural networks, backpropagation, convolutional neural networks, recurrent neural networks, and transformers.
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