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    A Guide to Machine Learning Model Deployment

    Machine-learning (ML) deployment involves placing a working ML model into an environment where it can do the work it was designed to do. The process of model deployment and...

    Machine Learning Modeling: How It Works and Why It’s Important

    Models are the central output of data science, and they have tremendous power to transform companies, industries, and society.  At the center of...
    Model Management Model Technology Model Production Model Monitoring Model Evaluation Model Deployment Model Myth Model Delivery Model Context Model Governance Model Productivity

    Defining Metrics to Drive Machine Learning Model Adoption & Value

    One of the biggest ironies of enterprise data science is that although data science teams are masters at using probabilistic models and diagnostic...
    Data Science Leaders At Work Advice for Aspiring Chief Data Scientists Leaders At Work Featured Model Evaluation Model Deployment value

    Addressing Irreproducibility in the Wild

    This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer’s "The Ingredients of a Reproducible Machine Learning...
    Data Science Leaders At Work Code Model Management Machine Learning Seek Truth Speak Truth Models Featured Practical Techniques Model Deployment Model Interpretability Reproducibility Model Development Domino Data Science Field Note

    Data Science vs Engineering: Tension Points

    This blog post provides highlights and a full written transcript from the panel, “Data Science Versus Engineering: Does It Really Have To Be This Way?
    Data Science Leaders At Work Engineering Collaboration Engineering Featured Model Management Machine Learning Seek Truth Speak Truth Data Science and Data Engineering Alignment Data Engineering Data Scientists Model Deployment Machine Learning Engineer Data Science Leaders at Work Models data Model Development Machine model

    Collaboration Between Data Science and Data Engineering: True or False?

    This blog post includes candid insights about addressing tension points that arise when people collaborate on developing and deploying models....
    Data Science Leaders At Work Engineering Collaboration Model Management Leaders At Work Featured Seek Truth Speak Truth IT and Data Science Alignment Data Science and Data Engineering Alignment Model Production Data Engineering Data Scientists Model Deployment Model Development Managing Data Science

    What Your CIO Needs to Know about Data Science

    What would you rather be doing? Data science or DevOps? As a data scientist, your CIO may hear from you that model deployment is a challenge (e.g.,...
    Data Science Leaders At Work Alignment CIO Model Technology Practical Techniques Model Production Data Science Leaders Data Analysis Data Scientists Model Deployment IT Leaders Models

    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

    “Unit testing” for data science

    An interesting topic we often hear data science organizations talk about is “unit testing.” It’s a longstanding best practice for building software,...
    Data Science Model Management Domino Product Practical Techniques Model Deployment data model
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