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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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Perspective

Seeking Reproducibility within Social Science: Search and Discovery

By Ann Spencer

Perspective

Data Science at The New York Times

By Ann Spencer

Data Science

Product Management for AI

By Ann Spencer

Machine Learning

Machine Learning in Production: Software Architecture

By John Joo

Data Science

Comparing the functionality of open source NLP libraries

By Maziyar Panahi & David Talby

Data Science

Manipulating Data with dplyr

By Domino

Data Science

Domino 3.3: Datasets and Experiment Manager

By Domino

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

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