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  • Approximation Error

Results for "approximation+error"


  • U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Estimation, Numerical Analysis, Calculus, Engineering Calculations, Mathematical Modeling, Operations Research, Derivatives, Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Calculus through Data & Modeling: Limits & Derivatives

    Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    209 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Finite Element Analysis Convergence and Mesh Independence

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    251 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • 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

  • C

    Coursera

    Data calculations in Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft 365, Data Analysis Expressions (DAX), Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    40 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Artificial Neural Networks, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Simulations, 3D Modeling

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

1…6789

In summary, here are 10 of our most popular approximation+error courses

  • Particle Filters (and Navigation): University of Colorado System
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
  • Finite Element Analysis Convergence and Mesh Independence: Coursera
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Quantization in Depth: DeepLearning.AI
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
  • Data calculations in Microsoft Excel: Coursera

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