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  • Variational Bayesian Methods

Results for "variational bayesian methods"


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    I

    Icahn School of Medicine at Mount Sinai

    Dynamical Modeling Methods for Systems Biology

    Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biology, Cell Biology, Physiology, Systems Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    222 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Health Informatics, Unsupervised Learning, Model Evaluation, Medical Imaging, Python Programming, Dimensionality Reduction

    3.9
    Rating, 3.9 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 4 Weeks

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    D

    Duke University

    Inferenzstatistik

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Toronto

    Bioinformatic Methods II

    Skills you'll gain: Bioinformatics, Biostatistics, Molecular Biology, Network Analysis, Database Software, Health Informatics, Unsupervised Learning, Data Processing, Tree Maps, Data Visualization Software, Scientific Visualization, Heat Maps, 3D Modeling

    4.7
    Rating, 4.7 out of 5 stars
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    487 reviews

    Beginner · Course · 1 - 3 Months

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    E

    EDHEC Business School

    Python and Machine Learning for Asset Management

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Portfolio Risk, Machine Learning, Applied Machine Learning, Financial Market, Financial Modeling, Supervised Learning, Predictive Analytics, Unsupervised Learning, Regression Analysis, Statistical Methods, Jupyter, Computer Science, Dimensionality Reduction

    3.1
    Rating, 3.1 out of 5 stars
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    332 reviews

    Intermediate · Course · 1 - 3 Months

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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Markov Model

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, Simulations, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    A

    Alberta Machine Intelligence Institute

    Generative AI for Audio and Images: Models and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Responsible AI, Computer Vision, Music, Recurrent Neural Networks (RNNs)

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    T

    The Linux Foundation

    Open Source Software Development Methods

    Skills you'll gain: Open Source Technology, GitHub, CI/CD, Git (Version Control System), Collaborative Software, Software Development Methodologies, Software Development Life Cycle, Technical Communication

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

    Beginner · Course · 1 - 4 Weeks

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

  • Dynamical Modeling Methods for Systems Biology: Icahn School of Medicine at Mount Sinai
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Inferenzstatistik: Duke University
  • Bioinformatic Methods II: University of Toronto
  • Python and Machine Learning for Asset Management : EDHEC Business School
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Particle Filters (and Navigation): University of Colorado System
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Statistical Methods for Data Science: Ball State University

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