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  • Bayesian Models

Results for "bayesian models"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 1

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    544 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Finetuning Large Language Models

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Retrieval-Augmented Generation, Transfer Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    618 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Large Language Models

    Skills you'll gain: Large Language Modeling, Google Gemini, Prompt Engineering, LLM Application, Generative AI

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    715 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Regression: Identify Assumptions & Apply Models

    Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability

    Intermediate · Course · 1 - 4 Weeks

  • 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: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · 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, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

1…678…259

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

  • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
  • Finetuning Large Language Models: DeepLearning.AI
  • Introduction to Large Language Models: Google Cloud
  • Foundations for Machine Learning: Dartmouth College
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Managing Machine Learning Models: SAS
  • Regression: Identify Assumptions & Apply Models: Coursera
  • Computational and Graphical Models in Probability: Johns Hopkins University

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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