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Integrated deployment
Bioactivity Cheminformatics Chemistry Life science Logistic regression Machine learning Molecular fingerprints Naive bayes Parameter optimization
  1. Workflow
    Training Workflow Fraud Detection
    Integrated deployment Continous Model monitoring
    +4
    In this simple example a Random Forest model has been trained to detect potential Fraud Transactions. To train the model it has b…
    knime > Continuous Deployment for Data Science > 03_Examples > Fraud Detection > Level_3_Fraud Detection with Monitoring > Training > Training_workflow
    0
    knime
  2. Workflow
    Training Workflow Fraud Detection
    Integrated deployment Continous Model monitoring
    +4
    In this simple example a Random Forest model has been trained to detect potential Fraud Transactions. To train the model it has b…
    fitofeijoo > Public > 03_Examples > Fraud Detection > Level_3_Fraud Detection with Monitoring > Training > Training_workflow
    0
    fitofeijoo
  3. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Life Sciences > Events > 2020_10_Integrated_Deployment_In_Action_Webinar > Model Selection with Integrated Deployment
    0
    knime
  4. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Education > Courses > L4-CA Machine Learning for Chemical Applications > Solutions > 02_Hyperparameter Optimization
    0
    knime
  5. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Education > Courses > L4-CA Machine Learning for Chemical Applications > Exercises > 02_Hyperparameter Optimization
    0
    knime
  6. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Education > Courses > L4-CA Machine Learning for Chemical Applications > Solutions > 02_Hyperparameter Optimization_Bonus
    0
    knime
  7. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    janina > Public > 2022_01_KNIME_User_Day > Model Selection with Integrated Deployment
    0
    janina