Skip to content
    Latest

    Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

    In this article, we'll discuss the challenge organizations face around fraud detection, how machine learning can be used to identify and spot anomalies that the human eye...

    Justified Algorithmic Forgiveness?

    Last week, Paco Nathan referenced Julia Angwin’s recent Strata keynote that covered algorithmic bias. This Domino Data Science Field Note dives a bit...
    Data Science Algorithmic Forgiveness Algorithmic Accountability Model Management Machine Learning Seek Truth Speak Truth Predictive Models Model Evaluation Data Scientists Model Interpretability data Model Development Bias Domino Data Science Field Note

    Item Response Theory in R for Survey Analysis

    In this guest blog post, Derrick Higgins, of American Family Insurance, covers item response theory (IRT) and how data scientists can apply it within...
    Data Science Code Model Management Practical Techniques Predictive Models R Item Response Theory Generative Models IRT Models Model Development

    Data Science is more than Machine Learning 

    This Domino Data Science Field Note provides highlights and video clips from Addhyan Pandey’s Domino Data Pop-Up talk, “Leveraging Data Science in...
    Data Science Leaders At Work Model Management Machine Learning Recommender Systems Word2vec Models Featured Practical Techniques Predictive Models Machine Learning Engineer Model Governance Models Domino Data Science Field Note

    Model Deployment Powered by Kubernetes

    In this article we explain how we’re using Kubernetes to enable data scientists to deploy predictive models as production-grade APIs. Background ...
    Data Science Engineering Model Management Model Technology Domino Predictive Models Model Production R Model Deployment Domino Engineering IT Models Kubernetes model

    Benchmarking Predictive Models

    It's been said that debugging is harder than programming. If we, as data scientists, are developing models ("programming") at the limits of our...
    Benchmark Data Science Model Management Machine Learning Predictive Models Models data model

    Reflections on "buy vs build"

    “Buy vs build”, “not-invented-here syndrome” and even “invented-here-syndrome” have been written about extensively. I want to share a few reflections...
    Data Science Leaders At Work Engineering Practical Techniques Predictive Models Data Science Leaders IT Time Series IT Leaders Startups
    Load More Posts