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  • Variational Bayesian Methods

Results for "variational+bayesian+methods"


  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Predictive Modeling, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Generative AI for Data Science with Copilot

    Skills you'll gain: Generative AI, Microsoft Copilot, Generative Model Architectures, Generative Adversarial Networks (GANs), Responsible AI, Data Ethics, Data Security, Information Privacy, Anomaly Detection, Model Evaluation, Data Analysis

    ★ 4.7 (37) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Statistical Methods, Probability & Statistics, Statistical Inference, Sampling (Statistics), Probability Distribution, Numerical Analysis, Classification Algorithms

    ★ 4.5 (63) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Derivatives

    ★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistics, Bayesian Statistics, Statistical Software, Statistical Inference, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • 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
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Toronto

    Bioinformatic Methods II

    Skills you'll gain: Bioinformatics, Molecular Biology, R (Software), Informatics, Network Analysis, Data Analysis, Data Visualization Software, Data Processing, Scientific Visualization, Structural Analysis, Heat Maps

    ★ 4.8 (488) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Unsupervised Learning, Machine Learning Methods, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    ★ 4.1 (249) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Introduction to Generative AI for Data Analysis

    Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Data Cleansing, Data Preprocessing, Data Analysis, Responsible AI, Transfer Learning, AI Integrations, Exploratory Data Analysis, Anomaly Detection

    ★ 4.3 (93) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    ★ 4.6 (2.3K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…456…9

In summary, here are 10 of our most popular variational+bayesian+methods courses

  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Generative AI for Data Science with Copilot: Microsoft
  • Foundations for Machine Learning: Dartmouth College
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Bioinformatic Methods II: University of Toronto
  • Matrix Methods: University of Minnesota

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