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  • Bayesian Probability

Results for "bayesian probability"


  • Status: Preview
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    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.4
    Rating, 3.4 out of 5 stars
    ·
    102 reviews

    Advanced · Course · 1 - 3 Months

  • Status: 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: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    E

    Eindhoven University of Technology

    Improving your statistical inferences

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
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    799 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time

    Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Forecasting, Data Science, Strategic Decision-Making, Statistical Methods, Anomaly Detection, Applied Machine Learning, Cybersecurity, Statistical Analysis

    Intermediate · Specialization · 3 - 6 Months

  • 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, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Model Evaluation

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Probability & Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
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    304 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    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, Research Methodologies, Experimentation, Investigation, Statistical Methods

    4.9
    Rating, 4.9 out of 5 stars
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    42 reviews

    Beginner · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    179 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Causal Inference: Columbia University
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Improving your statistical inferences: Eindhoven University of Technology
  • Data Science Decisions in Time: Johns Hopkins University
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • Statistics You Need to Know for Machine Learning: SAS
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Probabilistic Graphical Models 3: Learning: Stanford University

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