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  • Algorithms For Multiple Hypothesis Testing

Results for "algorithms for multiple hypothesis testing"


  • 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

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Model Diagnostics and Remedial Measures

    Skills you'll gain: Regression Analysis, Data Validation, Feature Engineering, Exploratory Data Analysis, Statistical Modeling, Data Transformation, Statistical Methods, Plot (Graphics), Statistical Analysis, R Programming, Correlation Analysis, Time Series Analysis and Forecasting, Statistical Inference, Linear Algebra, Statistical Hypothesis Testing, Probability Distribution

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    Duke University

    Inferenzstatistik

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, R (Software), Statistical Reporting, Data Analysis, Statistical Analysis, R Programming, Statistical Methods, Probability & Statistics, Quantitative Research, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    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
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
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    136 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Data Storage Technologies, Statistical Machine Learning, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Statistical Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Data Processing, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

    3.7
    Rating, 3.7 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Manipulation, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Practical Machine Learning on H2O: H2O.ai
  • Model Diagnostics and Remedial Measures: Illinois Tech
  • Inferenzstatistik: Duke University
  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
  • Scalable Machine Learning on Big Data using Apache Spark: IBM

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