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  • Approximation Error

Results for "approximation+error"


  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction

    Mixed · 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, 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: Free Trial
    Free Trial
    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, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning

    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
    U

    University of Colorado Boulder

    Engineering Genetic Circuits: Abstraction Methods

    Skills you'll gain: Markov Model, Mathematical Modeling, Failure Analysis, Electrical and Computer Engineering, Biological Engineering, Process Modeling, Hazard Analysis, Simulations, Model Evaluation

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    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, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Calculus, Differential Equations, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    No-Code Model Evaluation, Communication, and Business Impact

    Skills you'll gain: Responsible AI, Model Evaluation, Business Analytics, Dashboard Creation, Performance Analysis, Predictive Analytics, Predictive Modeling, Auditing, Performance Improvement, Business Communication, Performance Measurement, Data-Driven Decision-Making, Technical Communication, Business Reporting, Key Performance Indicators (KPIs), Continuous Quality Improvement (CQI), Data Storytelling, No-Code Development, Process Improvement and Optimization, Management Reporting

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Probability, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Statistical Methods, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    191 reviews

    Advanced · Course · 1 - 3 Months

1…6789

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

  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Logistic Regression with NumPy and Python: Coursera
  • Engineering Genetic Circuits: Abstraction Methods: University of Colorado Boulder
  • Machine Learning with Small Data Part 2: Northeastern University
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • No-Code Model Evaluation, Communication, and Business Impact: LearnQuest
  • Quantization in Depth: DeepLearning.AI
  • Simple Linear Regression for the Absolute Beginner: Coursera

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