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Mlops

Data Science at Microsoft

Lessons learned in the practice of data science at Microsoft.

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Mlops

Samar Deen in Data Science at Microsoft

Writing modular MLOPs-ready Python code for easy explainability and interpretation

Daniel Taube in Data Science at Microsoft

Building a collaboration platform for a data science team

Bernat Puig Camps in Data Science at Microsoft

A diagram of concentric layers. The innermost corresponds to the Data Science code, the next one is the specification layer and the outermost is the orchestration layer.

A layered approach to MLOps

A tried and tested approach to structuring ML projects

jane saldanha in Data Science at Microsoft

Testing practices for data science applications using Python

Sowmya Kumar in Data Science at Microsoft

Technical debt in Machine Learning: Pay off this “high interest rate credit card” sooner rather than later

Nile Wilson in Data Science at Microsoft

Moving on-prem models into the cloud: How to improve Machine Learning experimentation and deployment

Petersaddow in Data Science at Microsoft

ML program management at scale (Part 2 of 2)

As data science and machine learning (ML) evolve, the role that program managers…

Petersaddow in Data Science at Microsoft

ML program management at scale (Part 1 of 2)

A deep dive into the role and its responsibilities.