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Results for "randomization"


  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Computation and Visualization for Analytics Part 2

    Skills you'll gain: Data Storytelling, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Seaborn, Data-Driven Decision-Making, Data Mining, Scatter Plots, R Programming, Graph Theory, Data Science, Time Series Analysis and Forecasting

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • U

    University of Amsterdam

    Methods and Statistics in Social Science - Final Research Project

    Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Data Collection, Research Methodologies, Surveys, Qualitative Research, Experimentation, Descriptive Statistics, Survey Creation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    70 reviews

    Beginner · Course · 1 - 3 Months

  • I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Statistical Modeling, Predictive Modeling, Data Modeling, R Programming, Statistical Methods, Public Health, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    Faster Together, Enhancing the Recruitment of Marginalized Communities in Clinical Trials

    Skills you'll gain: Patient Communication, Informed Consent, Clinical Research, Patient Education And Counseling, Community Outreach, Clinical Trials, Health Equity, Health Disparities, Clinical Research Ethics, Research, Healthcare Ethics, Diversity Awareness, Community Health, Cultural Responsiveness, Rapport Building, Patient Referral, Diversity Equity and Inclusion Initiatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    107 reviews

    Beginner · Course · 1 - 3 Months

  • É

    École normale supérieure

    Statistical Mechanics: Algorithms and Computations

    Skills you'll gain: Sampling (Statistics), Physics, Simulations, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Integral Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    269 reviews

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Data Science Decisions in Time: Information Theory & Games

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Publishing Visualizations in R with Shiny and flexdashboard

    Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, Data Sharing, UI Components, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    72 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

1…6789

In summary, here are 10 of our most popular randomization courses

  • Statistical Learning for Engineering Part 2: Northeastern University
  • Computation and Visualization for Analytics Part 2: Northeastern University
  • Methods and Statistics in Social Science - Final Research Project: University of Amsterdam
  • Interventions and Calibration: Imperial College London
  • Faster Together, Enhancing the Recruitment of Marginalized Communities in Clinical Trials: Vanderbilt University
  • Statistical Mechanics: Algorithms and Computations: École normale supérieure
  • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
  • Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Building, Evaluating, and Operationalizing ML Models: Packt

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