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Results for "matrix+diagonalization"
- Status: Free
École Polytechnique
Skills you'll gain: Cryptography
Vanderbilt University
Skills you'll gain: Computer Programming, Other Programming Languages, Algorithms, Theoretical Computer Science, Matlab
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Algebra, Linear Algebra
University of Colorado Boulder
Skills you'll gain: Algebra, Mathematics, Calculus, Differential Equations, Mathematical Theory & Analysis, Plot (Graphics), Linear Algebra, Problem Solving, Applied Mathematics, Graph Theory
Skills you'll gain: Deep Learning, Machine Learning
- Status: Free
The University of Melbourne
Skills you'll gain: Algorithms, Computer Programming, Python Programming
Imperial College London
Skills you'll gain: Algebra, Linear Algebra, Machine Learning, Mathematics, Computer Programming, Dimensionality Reduction, Mathematical Theory & Analysis, Python Programming, Statistical Analysis, Statistical Programming
Skills you'll gain: Data Analysis, Data Visualization, Exploratory Data Analysis, Matlab
- Status: Free
DeepLearning.AI
Coursera Project Network
Skills you'll gain: Data Analysis, Data Science, Python Programming
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Problem Solving, Mathematics
Skills you'll gain: Deep Learning, Tensorflow
In summary, here are 10 of our most popular matrix+diagonalization courses
- Quantum Optics 2 - Two photons and more: École Polytechnique
- Mastering Programming with MATLAB:Â Vanderbilt University
- Math for AI beginner part 1 Linear Algebra:Â Korea Advanced Institute of Science and Technology(KAIST)
- Algebra and Differential Calculus for Data Science:Â University of Colorado Boulder
- Advanced Machine Learning and Deep Learning:Â Packt
- Discrete Optimization:Â The University of Melbourne
- Mathematics for Machine Learning: PCA:Â Imperial College London
- Exploratory Data Analysis with MATLAB:Â MathWorks
- Quantization Fundamentals with Hugging Face:Â DeepLearning.AI
- Python for Data Analysis: Pandas & NumPy:Â Coursera Project Network