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Results for "algorithms for multiple hypothesis testing"

  • Status: Preview
    Preview
    F

    Fred Hutchinson Cancer Center

    Practical Steps for Building Fair AI Algorithms

    Skills you'll gain: ChatGPT, Responsible AI, Generative AI, Data Ethics, Algorithms, Artificial Intelligence, Large Language Modeling, Predictive Analytics, Machine Learning, Diversity Awareness, Health Equity, Software Documentation, Case Studies

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    296 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Pipeline

    Skills you'll gain: Data Mining, Data Warehousing, Data Pipelines, Data Processing, Data Integration, Data Modeling, Data Cleansing, Data Transformation, Data Quality, Data Analysis, Descriptive Analytics, Exploratory Data Analysis, Applied Machine Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    103 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Dimensionality Reduction, Advanced Analytics, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Predictive Modeling, Linear Algebra, Probability Distribution

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    New York University

    MOST from a Conceptual Perspective

    Skills you'll gain: Research Design, Experimentation, Clinical Trials, Clinical Research Ethics, Scientific Methods, Program Evaluation, Statistical Methods, Sample Size Determination, Public Health and Disease Prevention, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Cape Town

    Doing Clinical Research: Biostatistics with the Wolfram Language

    Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    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
    A

    Arizona State University

    Factorial and Fractional Factorial Designs

    Skills you'll gain: Experimentation, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Variance Analysis, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    80 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera Project Network

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Beginner · 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

  • Practical Steps for Building Fair AI Algorithms: Fred Hutchinson Cancer Center
  • Principal Component Analysis with NumPy: Coursera Project Network
  • Data Mining Pipeline: University of Colorado Boulder
  • Machine Learning Essentials: University of Pennsylvania
  • Resampling, Selection and Splines: University of Colorado Boulder
  • MOST from a Conceptual Perspective: New York University
  • Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town
  • Build Regression, Classification, and Clustering Models: CertNexus
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Factorial and Fractional Factorial Designs: Arizona State University

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