determinants - 技术专题

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machine-learningcalculuslinear-regressionlinear-algebraprobabilitymathematicsgradient-descentbayesian-statisticslinear-equationmathematical-optimization

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Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

  • Updated Jul 10, 2023
  • Jupyter Notebook

Vectors, matrices, linear equations, Gaussian elimination, vector geometry with dot product and vector product, determinants, vector spaces, linear independence, bases, change of basis, linear transformations, the least-squares method, eigenvalues, eigenvectors, quadratic forms, orthogonality, inner-product space, Gram-Schmidt's method.

  • Updated Nov 12, 2020

Course repository for Linear Algebra and Analytic Geometry, featuring Python and TypeScript implementations, lesson notebooks, practical assignments, exercises, solutions, demos, and submission workflows.

  • Updated Jul 23, 2026
  • Jupyter Notebook