Results for "eigenvalues+and+eigenvectors"
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
The University of Sydney
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Vector Databases, Engineering Analysis, Computational Logic
Status: NewStatus: PreviewSkills you'll gain: Vibrations, Engineering Analysis, Finite Element Methods, Mechanical Design, Structural Analysis, Mechanical Engineering, Simulations, Business Modeling, Technical Analysis, Technical Design
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra
Status: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Vibrations, Mechanics
What brings you to Coursera today?
Status: Free TrialUniversity of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms
Status: NewStatus: PreviewSkills you'll gain: Engineering Calculations, Applied Mathematics, Simulation and Simulation Software, Engineering, 3D Modeling, Thermal Management, Process Analysis, Scientific Visualization, Geometry, Star Schema, Environment
Status: Free TrialL&T EduTech
Skills you'll gain: Electric Power Systems, Electrical Power, Systems Analysis, Electrical Engineering, Network Analysis, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Simulations, Graph Theory
In summary, here are 10 of our most popular eigenvalues+and+eigenvectors courses
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Introduction to Linear Algebra: The University of Sydney
- Modal Analysis in Mechanical Structures: Coursera
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
- Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Numerical Methods for Engineers: The Hong Kong University of Science and Technology
