Linear Algebra

Linear Algebra is a fundamental area of mathematics that studies vectors, vector spaces and linear transformations between these spaces. Coursera's Linear Algebra catalogue teaches you the concepts, principles, and applications of linear algebra in science and engineering. You'll learn about vector spaces, matrices, determinants, eigenvalues and eigenvectors, and their practical applications. You'll also delve into theoretical aspects, such as abstract vector spaces and linear transformations, and gain tools for solving systems of linear equations. This knowledge will serve as a foundation for various fields such as machine learning, data science, artificial intelligence, and quantum computing.
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Explore the Linear Algebra Course Catalog

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

  • Status: Preview

    Skills you'll gain: Mathematical Modeling, Calculus, Physics, Integral Calculus, Graphing, Advanced Mathematics, Applied Mathematics, Mechanics, Linear Algebra, Geometry, Trigonometry, Derivatives

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

  • Status: Preview

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Calculus, Differential Equations, Advanced Mathematics, Mathematical Modeling, Mathematical Theory & Analysis, Geometry

  • Status: Preview

    Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Machine Learning, Data Science, Advanced Mathematics, Applied Mathematics, Python Programming

  • Status: Free Trial

    The Hong Kong University of Science and Technology

    Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Electrical Engineering, Derivatives

  • Status: Preview

    University of Washington

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

  • Status: Preview

    Skills you'll gain: Linear Algebra, Differential Equations, Applied Mathematics, Engineering Calculations, Advanced Mathematics, Algebra, Mathematical Modeling

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Electrical and Computer Engineering, Computer Engineering, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Graph Theory, Linear Algebra, Applied Mathematics, Mathematical Modeling, Calculus

  • Status: Preview

    Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Algorithms

  • Status: Free Trial

    Illinois Tech

    Skills you'll gain: Regression Analysis, R Programming, R (Software), Statistical Methods, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Statistics, Probability & Statistics, Linear Algebra

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

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