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  • Approximation Error

Results for "approximation+error"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Particle Filters (and Navigation)

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

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

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Integration Applications

    Skills you'll gain: Integral Calculus, Calculus, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Mathematical Modeling, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    University of Colorado Boulder

    Equivalences, Abstraction, and Partial Order Reduction

    Skills you'll gain: Verification And Validation, Computational Thinking, Systems Design, Systems Analysis, Model Optimization, Software Design, Computer Architecture, Software Quality (SQA/SQC), Logical Reasoning

    Beginner · Course · 1 - 4 Weeks

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

    University of London

    Geometry and Calculus for Computing

    Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Plot (Graphics), Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

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

    University of London

    Applied Mathematical Methods for Computing

    Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Geometry, Applied Mathematics, Statistics, Statistical Analysis, Statistical Methods, Probability, Algorithms, Algebra, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data calculations in Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft 365, Analysis, Trend Analysis, User Accounts

    4.7
    Rating, 4.7 out of 5 stars
    ·
    40 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Acquisition, Risk, and Estimation

    Skills you'll gain: Sampling (Statistics), Estimation, Data Collection, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, Quantitative Research, R (Software), Data Analysis, Risk Management, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, R Programming, Project Estimation, Business Analysis

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Probability, Statistical Inference and Regression Analysis

    Skills you'll gain: Statistics, Probability & Statistics, Analytics, Exploratory Data Analysis, Estimation, Logistic Regression

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization in Depth

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · 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
  • Sample-based Learning Methods: University of Alberta
  • Calculus through Data & Modelling: Integration Applications: Johns Hopkins University
  • Equivalences, Abstraction, and Partial Order Reduction: University of Colorado Boulder
  • Geometry and Calculus for Computing: University of London
  • Applied Mathematical Methods for Computing: University of London
  • Data calculations in Microsoft Excel: Coursera
  • Data Acquisition, Risk, and Estimation: University of Colorado Boulder
  • Logistic Regression with NumPy and Python: Coursera
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University

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