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  • Numerical Methods

Results for "numerical methods"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    FEM - Linear, Nonlinear Analysis & Post-Processing

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Engineering Calculations, Mathematical Modeling, Structural Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    199 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Finite Element Analysis Convergence and Mesh Independence

    Skills you'll gain: Finite Element Methods, Simulation and Simulation Software, Cloud Engineering, Engineering Analysis, Simulations, Mechanical Design, Engineering Design Process, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    244 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Techniques of Integration

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    248 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    ISAE-SUPAERO

    Developments of structural dynamics

    Skills you'll gain: Finite Element Methods, Structural Analysis, Vibrations, Engineering Analysis, Mathematical Modeling, Mechanical Engineering, Linear Algebra, Numerical Analysis, Applied Mathematics, Control Systems, Differential Equations

    4.4
    Rating, 4.4 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Chicago

    Global Warming II: Create Your Own Models in Python

    Skills you'll gain: Climate Change Programs, Mathematical Modeling, NumPy, Physical Science, Simulation and Simulation Software, Environmental Science, Scientific Visualization, Matplotlib, Simulations, Numerical Analysis, Differential Equations, Mechanics

    4.1
    Rating, 4.1 out of 5 stars
    ·
    55 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Koç University

    KALKÜLÜS III: UYGULAMALAR / CALCULUS III: APPLICATIONS

    Skills you'll gain: Numerical Analysis, Calculus, Applied Mathematics, Integral Calculus, Mathematical Software, Mathematics Education, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Modeling, IC Processes and Emerging Microtechnology

    Skills you'll gain: Finite Element Methods, Semiconductors, Electronics Engineering, Electronic Systems, Computer Architecture, Manufacturing Processes, Process Engineering, Emerging Technologies, Simulation and Simulation Software, Mathematical Modeling, Electronic Components, Micrometer, Artificial Intelligence

    Mixed · Course · 1 - 4 Weeks

Searches related to numerical methods

numerical methods for engineers
computers, waves, simulations: a practical introduction to numerical methods using python
1…678…259

In summary, here are 10 of our most popular numerical methods courses

  • Advanced Neural Network Techniques: Johns Hopkins University
  • FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera
  • Finite Element Analysis Convergence and Mesh Independence: Coursera
  • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Matrix Methods: University of Minnesota
  • Developments of structural dynamics: ISAE-SUPAERO
  • Sample-based Learning Methods: University of Alberta
  • Global Warming II: Create Your Own Models in Python: The University of Chicago
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University

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