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    Results for "algorithms for multiple hypothesis testing"

    • 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
      ·
      316 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning Algorithms: Supervised Learning Tip to Tail

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      415 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Probability Distribution, Calculus

      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
      A

      American Psychological Association

      t-Tests of Hypotheses About Means

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Data Analysis, Regression Analysis, Research Design, Research, Psychology

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      126 reviews

      Advanced · Course · 1 - 4 Weeks

    • 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: Preview
      Preview
      N

      Northeastern University

      Foundations of Statistical Learning & Algorithms

      Skills you'll gain: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

      Mixed · 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
      U

      University of Colorado Boulder

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47 reviews

      Advanced · Course · 1 - 4 Weeks

    • 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

    • Multiple Regression Analysis in Public Health : Johns Hopkins University
    • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
    • Advanced Probability and Statistical Methods: Johns Hopkins University
    • t-Tests of Hypotheses About Means: American Psychological Association
    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • Advanced Methods in Machine Learning Applications: Johns Hopkins University
    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • Machine Learning for Engineers: Algorithms and Applications: Northeastern University

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