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  • Regularization Methods

Results for "regularization methods"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • 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, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Academic Research Types and Methods

    Skills you'll gain: Intellectual Property, Research, Higher Education, Research Methodologies, Research Design, Science and Research, Ethical Standards And Conduct, Student Engagement, Safety and Security

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Startup Valuation Methods

    Skills you'll gain: Financial Modeling, Entrepreneurial Finance, Business Valuation, Excel Formulas, Finance, Investments, Private Equity, Securities (Finance), Entrepreneurship, Cash Flows, Risk Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    751 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Understanding Research Methods

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Toronto

    Bioinformatic Methods II

    Skills you'll gain: Bioinformatics, Molecular Biology, Biostatistics, Biotechnology, Informatics, Network Analysis, Data Analysis, Cell Biology, Data Visualization Software, Data Literacy, Scientific Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    487 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    Technical University of Denmark (DTU)

    Antimicrobial resistance - theory and methods

    Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Medical Laboratory, Molecular, Cellular, and Microbiology, Epidemiology, Public Health and Disease Prevention, Data Quality, Medical Science and Research, Biology, Public Health

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Qualitative Research Methods

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

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

    Intermediate · Course · 1 - 3 Months

1…678…277

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

  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Academic Research Types and Methods: University of California, Davis
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Startup Valuation Methods: Duke University
  • Understanding Research Methods: University of London
  • Bioinformatic Methods II: University of Toronto
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Prediction and Control with Function Approximation: University of Alberta

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