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  • Probabilistic Models And Uncertainty Handling

Results for "probabilistic+models+and+uncertainty+handling"


  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Data Science Model Deployments and Cloud Computing on GCP

    Skills you'll gain: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Cloud Development, Application Performance Management, Google App Engine

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Risk Response and Reporting Effectively

    Skills you'll gain: Risk Control, Risk Management, Compliance Reporting, Risk Mitigation, Risk Analysis, Business Risk Management, Internal Controls, Continuous Monitoring, Data Management, Key Performance Indicators (KPIs), Stakeholder Communications

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Deep Learning, Machine Learning, Model Evaluation, Mortgage Loans, Consumer Lending, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

1…6789

In summary, here are 4 of our most popular probabilistic+models+and+uncertainty+handling courses

  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Data Science Model Deployments and Cloud Computing on GCP: Packt
  • Risk Response and Reporting Effectively: Packt
  • Interpretable machine learning applications: Part 3: Coursera

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