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  • Variational Bayesian Methods

Results for "variational bayesian methods"


  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    A

    Alberta Machine Intelligence Institute

    Generative AI for Audio and Images: Models and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Computer Vision, Creativity, Deep Learning, Music, Data Ethics

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Foundations for Machine Learning

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: From Concept to Data Analysis

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, OpenAI, Multimodal Prompts, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Image Analysis, Application Deployment

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference

    4
    Rating, 4 out of 5 stars
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    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language), Object Oriented Programming (OOP)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    560 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Data Analytics Methods for Marketing

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Planning, Sales Pipelines, Customer Analysis, Marketing Channel, Advertising Campaigns, Regression Analysis, Forecasting, Data Analysis, Unsupervised Learning, Key Performance Indicators (KPIs), Return On Investment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    284 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Fundamentals of Scientific Research Under Uncertainty

    Skills you'll gain: Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Bayesian Statistics, Probability & Statistics, Experimentation, Investigation, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Introduction to Agile Methods

    Skills you'll gain: Scrum (Software Development), Agile Methodology, Systems Engineering, Risk Management, Lean Methodologies, Software Development Methodologies, Scalability, Sprint Retrospectives, Agile Project Management, Systems Development Life Cycle, Team Management, Waterfall Methodology, Sprint Planning, Backlogs

    Intermediate · Course · 1 - 4 Weeks

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

  • Bayesian Statistics: University of California, Santa Cruz
  • Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute
  • Foundations for Machine Learning: Dartmouth College
  • Probabilistic Graphical Models: Stanford University
  • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
  • Generative AI and Large Language Models: Coursera
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • The Finite Element Method for Problems in Physics: University of Michigan
  • Data Analytics Methods for Marketing: Meta
  • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University

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