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  • Variational Bayesian Methods

Results for "variational bayesian methods"


  • Status: New
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    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

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    495 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    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
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    40 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Inferential Statistics

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

    4.8
    Rating, 4.8 out of 5 stars
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    2.8K reviews

    Beginner · Course · 1 - 3 Months

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    New
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    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • 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: Free Trial
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    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    922 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Psychological Research

    Skills you'll gain: Institutional Review Board (IRB), Data Visualization, Descriptive Statistics, Quantitative Research, Plot (Graphics), Data Literacy, Scientific Methods, Graphing, Research Design, Statistical Hypothesis Testing, Probability & Statistics, Research, Statistical Inference, Statistics, Statistical Analysis, Surveys, Sample Size Determination, Ethical Standards And Conduct, Data Analysis, Research and Design

    4.8
    Rating, 4.8 out of 5 stars
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    274 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative AI, Generative Model Architectures, Deep Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Unsupervised Learning, Image Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Data Analysis, Mathematical Modeling, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Generative AI and Large Language Models: Coursera
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
  • Inferential Statistics: Duke University
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Psychological Research: American Psychological Association
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder

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