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  • Regularization Methods

Results for "regularization methods"


  • J

    Johns Hopkins University

    Advanced Reproducibility in Cancer Informatics

    Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Devops Tools, Informatics, Automation, Science and Research, Data Analysis, R Programming

    Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Model Evaluation, Regression Analysis, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Feature Engineering, Model Optimization, Predictive Modeling, Data Analysis, R Programming, Supervised Learning, Correlation Analysis, Probability & Statistics, Verification And Validation

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Regression: Identify Assumptions & Apply Models

    Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Forecasting, Data Presentation, Technical Communication, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, Statistical Methods, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Columbia University

    3D Reconstruction - Single Viewpoint

    Skills you'll gain: Computer Graphics, Image Analysis, 3D Modeling, Image Quality, Medical Imaging, Computer Vision, Computer Graphic Techniques, Automation Engineering, Mathematical Modeling, Estimation, Algorithms

    ★ 5 (42) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (1.3K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Columbia University

    3D Reconstruction - Multiple Viewpoints

    Skills you'll gain: Image Analysis, Computer Graphics, Virtual Reality, Computer Vision, Linear Algebra

    ★ 4.6 (43) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Approximation Methods

    Skills you'll gain: Estimation, Numerical Analysis, Applied Mathematics, Electrical Engineering, Mathematical Modeling, Linear Algebra, Physics

    ★ 4.4 (14) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software

    ★ 4.8 (10) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

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

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Machine Learning Methods, Supervised Learning, Classification Algorithms, Decision Tree Learning, Machine Learning Algorithms, Data Analysis, Analysis, Machine Learning, Correlation Analysis, Bayesian Network, Algorithms, Artificial Neural Networks, Model Evaluation

    ★ 4.3 (72) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    ★ 4.4 (19) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…789…336

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

  • Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
  • Linear Regression with R: Build & Optimize: EDUCBA
  • Regression: Identify Assumptions & Apply Models: Coursera
  • 3D Reconstruction - Single Viewpoint : Columbia University
  • Sample-based Learning Methods: University of Alberta
  • 3D Reconstruction - Multiple Viewpoints: Columbia University
  • Approximation Methods: University of Colorado Boulder
  • Statistical Methods: University of Leeds
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Data Mining Methods: University of Colorado Boulder

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