Lineare Algebra für Machine Learning Engineers: Von den Grundlagen zur Produktion

Master the essential linear algebra concepts to build, optimize, and deploy robust machine learning systems, from data representation to advanced model mechanics.
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Foundational Linear Algebra for Data Representation and Manipulation

Unit 1: Vectors: The Building Blocks of Data

Unit 2: Matrices: Organizing and Transforming Data

Unit 3: Tensors: Beyond 2D Data

Advanced Linear Algebra for ML Algorithms and Optimization

Unit 1: Eigenvalues and Eigenvectors: Unlocking Data Variance

Unit 2: Linear Algebra in ML Algorithms