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Perspective

On Collaboration Between Data Science, Product, and Engineering Teams

By Ann Spencer

Data Science

R in ecology

By Auriel Fournier

Data Science

Reflections on the Data Science Platform Market

By Nick Elprin

Data Science

Model interpretability with TCAV (Testing with Concept Activation Vectors)

By Domino

Code

SHAP and LIME Python libraries: Part 2 - using SHAP and LIME

By Josh Poduska

Code

SHAP and LIME Python Libraries: Part 1 - Great Explainers, with Pros and Cons to Both

By Josh Poduska

Big data, big problems: Nate Silver of FiveThirtyEight shares tips for navigating today’s data science challenges

By Domino Data Lab

Product Updates

AWS and Domino Data Lab: containerized data science in AWS utilizing Kubernetes

By Domino Data Lab

Model Scalability

Josh Poduska on tracking model lineage

By Josh Poduska

Data Science

Creating interactive crime maps with Folium

By roos

Data Science

Trust in LIME: Yes, No, Maybe So? 

By Ann Spencer

Data Science

Item Response Theory in R for Survey Analysis

By Derrick Higgins

Data Science

Learn from the Reproducibility Crisis in Science

By Domino

Domino Co-founder Discusses Why Models Run the World

By Mac Steele

Data Science

Feature engineering: a framework and techniques 

By Ann Spencer

Coatue and Sequoia Invest $40 Million in Domino

By Nick Elprin

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Who is Domino?

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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