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  • Bayesian Inference

Results for "bayesian inference"


  • U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics), Probability Distribution

    ★ 4.6 (52) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • T

    Tufts University

    Hypothesis Testing with Python and Excel

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Statistical Methods, Probability & Statistics, Statistical Analysis, Data Analysis Software, Sampling (Statistics), Analytical Skills, Spreadsheet Software, Statistics, Business Analytics, Python Programming

    ★ 4.2 (24) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    How Science Turns Data Into Knowledge

    Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Statistical Reporting, Experimentation, Science and Research, Research Design, Analytical Skills, General Science and Research, Research, Peer Review, Probability & Statistics, Journalism, Statistical Inference, Statistical Methods, Media and Communications, Research Methodologies

    ★ 4.6 (17) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, R (Software), Data Analysis

    ★ 4.5 (39) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • C

    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    ★ 4.8 (37) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • S

    SAS

    Statistics You Need to Know for Machine Learning

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

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    ★ 4.9 (8) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Data Science with Python: Analyze & Visualize

    Skills you'll gain: Box Plots, Data Science, Histogram, Data Presentation, Statistical Analysis, Statistical Methods, Statistical Visualization, Data Preprocessing, Descriptive Statistics, Probability & Statistics, Data Analysis, Data Visualization Software, Data-Driven Decision-Making, Bayesian Statistics, Applied Machine Learning, Scatter Plots, Scripting, Python Programming, Data Processing, Machine Learning Algorithms

    ★ 4.7 (15) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Analyze Business Data Using Statistics Foundations

    Skills you'll gain: Data Analysis, Analytics, Data Literacy, Correlation Analysis, Applied Machine Learning, Data Visualization, Machine Learning

    Mixed · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Model Optimization, Serverless Computing, Cloud Deployment, Generative AI, Cloud Platforms, AI Integrations, Application Deployment, Cloud-Based Integration, Containerization, Scalability

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…35

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

  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • Hypothesis Testing with Python and Excel: Tufts University
  • How Science Turns Data Into Knowledge: University of Michigan
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Foundations for Machine Learning: Dartmouth College
  • Optimize AI Inference Speed & Accuracy: Coursera
  • Using probability distributions for real world problems in R: Coursera
  • Statistics You Need to Know for Machine Learning: SAS
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Data Science with Python: Analyze & Visualize: EDUCBA

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