Results for "eigenvalues and eigenvectors"
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming
Status: NewStatus: PreviewUniversitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic
Status: NewBirla Institute of Technology & Science, Pilani
Skills you'll gain: Electronic Systems, Semiconductors, Basic Electrical Systems, Electrical Engineering, Electronics, Electronic Components, Electronics Engineering, Power Electronics, Electrical Systems, Engineering Analysis, Network Analysis, Engineering Calculations, Control Systems, Applied Mathematics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability
Status: NewBirla Institute of Technology & Science, Pilani
Skills you'll gain: Physics, Mechanics, Thermal Management, Engineering, Applied Mathematics, Vibrations, Physical Science, Engineering Analysis, Torque (Physics), Laboratory Equipment, Mathematical Theory & Analysis, Problem Solving, Science and Research, Analytical Skills, Computer Science, Critical Thinking and Problem Solving, Logical Reasoning, Research, Software Development, Critical Thinking
What brings you to Coursera today?
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, Engineering Analysis
Status: NewStatus: Free TrialJohns Hopkins University
Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming
Status: Free TrialRice University
Skills you'll gain: Physics, Mechanics, Engineering Calculations, Vibrations, Materials science, Applied Mathematics, Physical Science, Trigonometry, Mathematical Modeling, Advanced Mathematics, Calculus, Differential Equations, Linear Algebra, Problem Solving
Status: Free TrialRice University
Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Torque (Physics), Physics, Electrical Systems, Engineering Analysis, Electronic Components, Mechanics, Electronic Systems, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Problem Solving, Calculus, Advanced Mathematics, Trigonometry
In summary, here are 10 of our most popular eigenvalues and eigenvectors courses
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Basic Math: Algebra: Universitat Politècnica de València
- Basic Electronics: Birla Institute of Technology & Science, Pilani
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- General Physics: Birla Institute of Technology & Science, Pilani
- Introduction to Linear Algebra: The University of Sydney
- Honors Algebra 2: Polynomials and Complex Numbers: Johns Hopkins University
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
