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  • Regularization Methods

Results for "regularization methods"


  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Algorithms, Regression Analysis, Predictive Modeling, Feature Engineering, Artificial Intelligence, Data Ethics, Statistical Methods, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Technical Documentation, Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Git (Version Control System), Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, Data Modeling, R Programming, Differential Equations, Statistical Methods, Public Health, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

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

    Intermediate · 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, Supervised Learning, Image Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    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, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Unsupervised Learning, Big Data, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Data Analysis, Anomaly Detection, Machine Learning Algorithms, Advanced Analytics, Statistical Analysis, Predictive Modeling, Network Analysis, Exploratory Data Analysis, Bayesian Statistics, Algorithms, Artificial Neural Networks, Scalability

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Qualitative Research Methods

    Skills you'll gain: Qualitative Research, Interviewing Skills, Social Sciences, Research, Research Methodologies, Data Collection, Surveys, Research Design, Research Reports, Ethical Standards And Conduct

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

1…789…246

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

  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
  • Interventions and Calibration: Imperial College London
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Machine Learning: Regression: University of Washington
  • Modeling Time Series and Sequential Data: SAS
  • Statistical Learning for Engineering Part 2: Northeastern University

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