Search results for Model Risk Management

    Found 4 documents, 10322 searched:

  • Models: From the Lab to the Factory

    ...ly tested and the impact of the bugs that could sneak through. In this post, we’ll go over techniques to avoid these scenarios through the process of model management and deployment. Here are some of the questions we have to tackle when we want to deploy models to production: How do the model...

    https://www.kdnuggets.com/2017/04/models-from-lab-factory.html

  • Doing Data Science: A Kaggle Walkthrough Part 6 – Creating a Model

    ...XGBoost algorithm for those skipping ahead), let talk about the approach. Cross Validation As mentioned in regards to decision trees, one of the keys risks when creating models of any type is the risk of overfitting. One of the primary ways data scientists will guard against overfitting is to...

    https://www.kdnuggets.com/2016/06/doing-data-science-kaggle-walkthrough-creating-model.html

  • Four Approaches to Explaining AI and Machine Learning

    ...his Checklist Explanations of ML models have to meet a variety of requirements to be trustworthy for high stakes business applications such as credit risk modeling, chief among them accuracy, consistency, and performance, i.e., prediction speed. The chart above summarizes how the four techniques...

    https://www.kdnuggets.com/2018/12/four-approaches-ai-machine-learning.html

  • Customer Churn Prediction Using Machine Learning: Main Approaches and Models

    ...odels to predict churn of those customers.” Deployment and monitoring And now, the final stage of the churn prediction project workflow. The selected model/models need to be put into production. A model may be incorporated into existing software or become a core of a new program. However, the...

    https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

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