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  • Regularization Methods

Results for "regularization methods"


  • Status: Preview
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    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    388 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression Analysis

    Skills you'll gain: Regression Analysis, Supervised Learning, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Exploratory Data Analysis, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Qualitative Research

    Skills you'll gain: Focus Group, Qualitative Research, Surveys, Discussion Facilitation, Market Research, Research, Research Reports, Recruitment, Research Methodologies, Interviewing Skills, Recruitment Strategies, Consumer Behaviour, Report Writing, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
    ·
    467 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Startup Valuation Methods

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    743 reviews

    Intermediate · Course · 1 - 3 Months

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

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Methods for Solving Problems

    Skills you'll gain: Problem Solving, Computational Thinking, Probability, Mathematical Modeling, Deductive Reasoning, Behavioral Economics, Algorithms, Analytical Skills, Theoretical Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    184 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Plant Bioinformatic Methods

    Skills you'll gain: Bioinformatics, Network Analysis, Biostatistics, Molecular Biology, Analysis, Biotechnology, Data Visualization Software, Database Software, Data Analysis Software, Health Informatics, Data Analysis, Data Synthesis, Statistical Methods, Data Mining, Medical Science and Research, Exploratory Data Analysis, Technical Communication, Life Sciences, Data Processing, Scientific Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Bioinformatic Methods II

    Skills you'll gain: Bioinformatics, Biostatistics, Molecular Biology, Network Analysis, Database Software, Health Informatics, Data Processing, Data Visualization Software, Scientific Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    487 reviews

    Beginner · Course · 1 - 3 Months

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

  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Regression Analysis: University of Colorado Boulder
  • Qualitative Research: University of California, Davis
  • Startup Valuation Methods: Duke University
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Methods for Solving Problems: University of Colorado Boulder
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Plant Bioinformatic Methods: University of Toronto

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