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  • Regularization Techniques

Results for "regularization techniques"


  • U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, C++ (Programming Language), Structural Engineering, Computer Programming

    ★ 4.6 (564) · Intermediate · Course · 3 - 6 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • 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
  • C

    Coursera

    Optimize AI: Fine-Tune & Maximize Accuracy

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Model Deployment, Model Optimization, Model Training, MLOps (Machine Learning Operations), Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

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

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Statistical Methods, Research Design, Image Analysis, Neurology, Hemodynamics, Data Preprocessing, Regression Analysis, Statistical Analysis, Statistical Modeling, Spatial Analysis, Time Series Analysis and Forecasting, Research Methodologies, Statistical Inference, Statistics

    ★ 4.7 (850) · Beginner · Course · 1 - 4 Weeks

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

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, SAS (Software), Statistical Programming, Predictive Modeling, Model Evaluation, Python Programming

    ★ 4.4 (274) · Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Software, Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Amazon Web Services, Model Optimization, Regression Analysis, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • T

    Technical University of Denmark (DTU)

    Introduction to advanced tomography

    Skills you'll gain: Jupyter, Medical Imaging, 3D Modeling, Image Analysis, Image Quality, Numerical Analysis, Mathematical Modeling, Materials science, Digital Signal Processing, Python Programming

    ★ 4.7 (67) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Correlation Analysis, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Medical Imaging, Regression Analysis, Psychology, Time Series Analysis and Forecasting, Neurology, Statistical Modeling, Statistical Methods, Statistical Inference, Dimensionality Reduction, Model Evaluation

    ★ 4.7 (249) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    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
  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    ★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
1…447448449450

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

  • The Finite Element Method for Problems in Physics: University of Michigan
  • Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
  • Optimize AI: Fine-Tune & Maximize Accuracy: Coursera
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Principles of fMRI 1: Johns Hopkins University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Regression Modeling in Practice: Wesleyan University
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Introduction to advanced tomography: Technical University of Denmark (DTU)
  • Principles of fMRI 2: Johns Hopkins University

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