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  • Mixture Model

Results for "mixture+model"


  • U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Mixed Methods Research: Bridging Qualitative & Quantitative

    Skills you'll gain: Data Collection, Research Design, Research Methodologies, Qualitative Research, Data Ethics, Quantitative Research, Research Reports, Data Integration, Data Storytelling, Surveys, Stakeholder Communications, Data Analysis, Data Visualization Software, Data Management, Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Create Professional 3D Product Models

    Skills you'll gain: 3D Modeling, Autodesk Maya, Visualization (Computer Graphics), Computer Graphics, Adobe Photoshop, Computer Graphic Techniques, Graphic Design, Image Quality

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Image Generation

    Skills you'll gain: Generative AI, Model Deployment, Generative Model Architectures, Cloud Deployment, Image Analysis, Unsupervised Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    195 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Response Surfaces, Mixtures, and Model Building

    Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Mathematical Modeling, Analysis, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Intermediate · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • 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, Machine Learning Algorithms

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

    Advanced · Course · 1 - 3 Months

  • U

    University of Minnesota

    Simulation Models for Decision Making

    Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Microsoft Excel, Excel Formulas, Complex Problem Solving, Business Process Modeling, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    144 reviews

    Mixed · Course · 1 - 4 Weeks

1…456…9

In summary, here are 10 of our most popular mixture+model courses

  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Mixed Methods Research: Bridging Qualitative & Quantitative: Coursera
  • Create Professional 3D Product Models: EDUCBA
  • Introduction to Image Generation: Google Cloud
  • Response Surfaces, Mixtures, and Model Building: Arizona State University
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Learn to Choose the Right ML Model: Coursera
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Simulation Models for Decision Making: University of Minnesota
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder

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