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  • Regularization Techniques

Results for "regularization techniques"


  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Regression Analysis, NumPy, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Artificial Neural Networks, Algorithms, Python Programming, Advanced Mathematics

    ★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

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

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • 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, Data Analysis, Research Design, Image Analysis, Laboratory Research, Neurology, Hemodynamics, Data Preprocessing, Regression Analysis, Science and Research, Statistical Analysis, Statistical Modeling, Spatial Analysis, Research Methodologies, Time Series Analysis and Forecasting, 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
1…446447448449

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

  • Mathematics for Machine Learning: Imperial College London
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • 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)

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