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  • Regularization Techniques

Results for "regularization+techniques"


  • L

    L&T EduTech

    Mastering Concrete Techniques

    Skills you'll gain: Construction Engineering, Laboratory Testing, Construction, Construction Inspection, Production Process, Manufacturing and Production, Construction Management, Manufacturing Operations, Plant Operations and Management, Manufacturing Processes, Civil Engineering, General Construction and Construction Labor, Safety Standards, Process Validation, Product Testing, Engineering Plans And Specifications, Chemical Engineering, Materials science, Drafting and Engineering Design, Structural Engineering

    ★ 4.9 (25) · Advanced · Specialization · 3 - 6 Months

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

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation

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

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

    L&T EduTech

    Construction Techniques and Practices

    Skills you'll gain: Construction, Construction Inspection, Construction Management, Construction Engineering, Construction Estimating, Maintenance, Repair, and Facility Services, General Construction and Construction Labor, Product Lifecycle Management, Cost Estimation, Building Codes, Structural Engineering, Engineering Practices, Digital Analysis, Machine Controls, Plant Operations and Management, Environmental Engineering, Facility Repair And Maintenance, Automation Engineering, Commercial Construction, Civil Engineering

    ★ 4.6 (9) · Advanced · Specialization · 3 - 6 Months

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

    Johns Hopkins University

    Neuroscience and Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, Correlation Analysis, Data Manipulation, R (Software), Radiology, Experimentation, Research Design, Laboratory Research, Statistical Analysis, Image Quality, Advanced Analytics, R Programming, Statistical Methods, Statistics

    ★ 4.7 (3.3K) · Intermediate · Specialization · 3 - 6 Months

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

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, GitHub, Machine Learning

    ★ 4.6 (48K) · Beginner · Specialization · 3 - 6 Months

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

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning

    ★ 4.5 (24) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered

What brings you to Coursera today?

  • I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Machine Learning Algorithms, Model Evaluation, Data Visualization, Data Science, Exploratory Data Analysis, Data Presentation, Statistical Programming, Statistical Methods, Statistical Machine Learning, Analysis, Statistical Modeling, Applied Machine Learning, Probability & Statistics, R (Software), Statistical Software, Forecasting, Machine Learning

    ★ 4.3 (22) · Intermediate · Specialization · 3 - 6 Months

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

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    ★ 4.6 (3.2K) · Intermediate · Specialization · 1 - 3 Months

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

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

    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Statistical Programming, Data Analysis, Logistic Regression, R Programming, Verification And Validation

    ★ 4.5 (48) · Intermediate · Specialization · 3 - 6 Months

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

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    ★ 3.8 (12) · Beginner · Specialization · 1 - 3 Months

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

    Coursera

    AI Optimization & Experimental Methods

    Skills you'll gain: Advanced Analytics, Generative AI, Decision Intelligence, Data-Driven Marketing, Marketing Analytics, Analytics, Simulations, Applied Machine Learning, Operations Research, Analytical Skills, Model Optimization, Business Analytics, Risk Analysis, Process Optimization, Return On Investment, Machine Learning, Data Science, Reinforcement Learning, Business Strategy, Statistics

    Advanced · Course · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…9

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

  • Mastering Concrete Techniques: L&T EduTech
  • Mathematics for Machine Learning: Imperial College London
  • Construction Techniques and Practices: L&T EduTech
  • Neuroscience and Neuroimaging: Johns Hopkins University
  • Data Science: Foundations using R: Johns Hopkins University
  • Foundations of Neural Networks: Johns Hopkins University
  • Introduction to Data Science Techniques: Illinois Tech
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Advanced Statistical Techniques for Data Science: Illinois Tech

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