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  • Probabilistic Models And Uncertainty Handling

Results for "probabilistic models and uncertainty handling"


  • Status: New
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    C

    Case Western Reserve University

    Practical Geospatial Geostatistical Modeling

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, R (Software), Probability & Statistics, Ggplot2, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Predictive Analytics, Data Cleansing, Statistical Methods, Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    141 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Minnesota

    Simulation Models for Decision Making

    Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Business Mathematics, Microsoft Excel, Operations Research, Complex Problem Solving, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Strategic Thinking, Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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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: Preview
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    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
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    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

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

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

    4.6
    Rating, 4.6 out of 5 stars
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    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data-Driven Decision-Making, Data Analysis, Probability, Risk Modeling, Statistical Inference, Data Visualization Software, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • 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
    Free Trial
    I

    Imperial College London

    Infectious Disease Modelling

    Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Infectious Diseases, Public Health, R Programming, Differential Equations, Data Modeling, Statistical Methods, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    296 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    844 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular probabilistic models and uncertainty handling courses

  • Practical Geospatial Geostatistical Modeling: Case Western Reserve University
  • Introduction to Predictive Modeling: University of Minnesota
  • 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
  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Probability and Statistics: To p or not to p?: University of London
  • Introduction to Computational Statistics for Data Scientists: Databricks

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