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  • Algorithms For Multiple Hypothesis Testing

Results for "algorithms for multiple hypothesis testing"


  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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, Logistic Regression, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, R (Software), Statistical Methods, Predictive Modeling, Generative AI, Forecasting, Power BI, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, R (Software), Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Algorithms and Linear Programming

    Skills you'll gain: Operations Research, Algorithms, Graph Theory, Network Model, Combinatorics, Mathematical Modeling, Theoretical Computer Science, Model Optimization, Python Programming, Network Analysis

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 4 Weeks

  • 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, Statistical Programming, Probability Distribution, Data Analysis, Statistical Software, Markov Model, Data Science, Statistical Modeling, Statistical Inference, Probability, Correlation Analysis, 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, Statistical Reporting, Quantitative Research, Statistical Analysis, Probability & Statistics, Sampling (Statistics), Statistical Inference, Descriptive Statistics, Statistics, Probability Distribution, Data Analysis, Regression Analysis, Research Design, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Modern Graph Theory Algorithms with Python

    Skills you'll gain: Graph Theory, Network Analysis, Network Model, Social Network Analysis, NoSQL, Data Store, Data Science, Query Languages, Visualization (Computer Graphics), Data Transformation, Big Data, Machine Learning Methods, Python Programming, Spatial Data Analysis, Deep Learning, Machine Learning, Machine Learning Algorithms, Quantum computing

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Applied Machine Learning, Probability Distribution

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

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Data Transformation, Fine-tuning

    Advanced · Course · 1 - 3 Months

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

  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Machine Learning Algorithms: Sungkyunkwan University
  • Statistical Analysis and Advanced Techniques: Microsoft
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Approximation Algorithms and Linear Programming : University of Colorado Boulder
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • t-Tests of Hypotheses About Means: American Psychological Association
  • Modern Graph Theory Algorithms with Python: Packt
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Practical Machine Learning on H2O: H2O.ai

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