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  • Approximation Error

Results for "approximation+error"


  • 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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Combining and Analyzing Complex Data

    Skills you'll gain: Statistical Analysis, Data Analysis Software, STATA (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Logistic Regression, Informed Consent

    4.2
    Rating, 4.2 out of 5 stars
    ·
    70 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    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

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Nonlinear Kalman Filters (and Parameter Estimation)

    Skills you'll gain: Estimation, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Control Systems, Mathematical Software, Simulation and Simulation Software, Model Evaluation, Derivatives, Calculus, Computer Programming Tools

    Intermediate · Course · 1 - 4 Weeks

  • 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, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Advanced Modeling for Discrete Optimization

    Skills you'll gain: Debugging, Mathematical Modeling, Advanced Mathematics, Operations Research, Computational Logic, Data Structures

    4.9
    Rating, 4.9 out of 5 stars
    ·
    141 reviews

    Intermediate · Course · 1 - 3 Months

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

    Alex Genadinik

    AI Errors & Hallucinations: Debugging & Fact-Checking

    Skills you'll gain: Prompt Engineering, Debugging, Claude Code, Responsible AI, Verification And Validation, ChatGPT, Artificial Intelligence, Development Testing, Software Testing

    Mixed · 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

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

  • Logistic Regression with NumPy and Python: Coursera
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Combining and Analyzing Complex Data: University of Maryland, College Park
  • Quantization in Depth: DeepLearning.AI
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • Nonlinear Kalman Filters (and Parameter Estimation): University of Colorado System
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong

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