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Data Science

3 Key Components of the Interdisciplinary Field of Data Science

By Amanda West

Data Science

Fundamentals of Signal Processing

By abishek subramanian

Data Science

Building a speaker recognition model

By abishek subramanian

Perspective

Data Science Tools: Understanding the Multiverse

By David Weedmark

Product Updates

Domino 4.4 Liberates Data Scientists to Maximize Productivity

By Bob Laurent

Code

Accelerating model velocity through Snowflake Java UDF integration

By Nikolay Manchev

Perspective

7 key questions to ask before building a data science platform

By Sarah Gates

Perspective

Collaboration at Scale Doesn't Just Happen

By Domino Data Lab

Company Updates

Domino and MathWorks Partner to Accelerate R&D by enhancing MATLAB and Simulink Cloud Offerings

By Thomas Robinson

Perspective

Do You Need a Center to be Excellent?

By Bayer Crop Science

Data Science

The Future of Data Science - Mining GTC 2021 for Trends

By Josh Poduska

Data Science

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

By Nikolay Manchev

Perspective

3 Companies, 3 Ways to Structure Data Science

By Domino Data Lab

Company Updates

Forrester TEI Study: Domino Delivers 542% ROI and Payback within 6 Months

By Bob Laurent

Data Science

Trending Toward Concept Building - A Review of Model Interpretability for Deep Neural Networks

By Josh Poduska

Machine Learning

Choosing the right machine learning framework

By Domino

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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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