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  • Variational Bayesian Methods

Results for "variational bayesian methods"


  • Status: New
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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

  • Status: Free Trial
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    C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Systems, Mathematical Modeling, Numerical Analysis, Applied Mathematics, Python Programming, Process Optimization, Probability Distribution, Algorithms, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
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    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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
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    109 reviews

    Advanced · Course · 1 - 3 Months

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    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Analytics, Statistical Analysis, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra, Peer Review

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Mixed · Course · 1 - 3 Months

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    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    410 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Applied Machine Learning, Generative Adversarial Networks (GANs), Healthcare Project Management, Machine Learning Methods, Image Analysis, Graph Theory, Artificial Neural Networks, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Predictive Modeling, Unsupervised Learning, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • 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

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    Johns Hopkins University

    Bioinformatics Methods for Transcriptomics

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Visualization Software, Statistical Analysis, Command-Line Interface, Linux

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Neuroscience Methods

    Skills you'll gain: Research Design, Science and Research, Laboratory Research, Research Methodologies, Statistical Analysis, Data Collection, Data Analysis Software, Neurology, Psychology, Physiology, Magnetic Resonance Imaging, Electrophysiology, Image Analysis, Medical Equipment and Technology, Human Learning, Medical Imaging, Data Visualization Software, Functional Behavior Assessment, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Statistical Learning for Engineering Part 1: Northeastern University
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Modeling Time Series and Sequential Data: SAS
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute

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