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Results for "algorithms for multiple hypothesis testing"

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Statistical Analysis and Advanced Techniques

    Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, Statistical Methods, Predictive Modeling, Generative AI, Statistical Inference, Forecasting, Descriptive Statistics, Power BI

    Beginner · 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, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Science, Random Forest Algorithm, Python Programming, Classification And Regression Tree (CART), NumPy, Regression Analysis, Data Analysis, Feature Engineering, Statistical Analysis, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    82 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, Data Analysis, Quantitative Research, Regression Analysis, Probability & Statistics, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Interactive Data Visualization, LLM Application, Text Mining, Document Management, Data Processing, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Mining, Python Programming, Linear Algebra, NumPy, Algorithms, Exploratory Data Analysis

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Multiple Regression Analysis in Public Health

    Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Public Health, Probability & Statistics, Statistical Analysis, Advanced Analytics, Statistical Modeling, Predictive Modeling, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    317 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EIT Digital

    I/O-efficient algorithms

    Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Computer Hardware

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera Project Network

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Analysis, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular algorithms for multiple hypothesis testing courses

  • Statistical Analysis and Advanced Techniques: Microsoft
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • ANOVA and Experimental Design: University of Colorado Boulder
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
  • Multiple Regression Analysis in Public Health : Johns Hopkins University
  • I/O-efficient algorithms: EIT Digital

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