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Data Science at Microsoft

Lessons learned in the practice of data science at Microsoft

Eva Jurado Cortés in Data Science at Microsoft

Code like a pro: A tour of the AutoGen SDK

As I wrote in my recent earlier article, AutoGen is revolutionizing the tech industry…

Eva Jurado Cortés in Data Science at Microsoft

Code cuisine: Whipping up gourmet menus with AutoGen

Renju in Data Science at Microsoft

From Internet to AI: My experience with GitHub Copilot

How GitHub Copilot transformed my development…

Lazaro Hurtado in Data Science at Microsoft

Evaluating RAG capabilities of Small Language Models

Manasa Gudimella in Data Science at Microsoft

Writing technical papers in data science

Congratulations on completing your first technical paper after extensive research and…

Ganga Meghanath in Data Science at Microsoft

Beginner’s guide to causal discovery: The what, the why, and the how

A simple explanation with…

Saveale in Data Science at Microsoft

The path to a golden dataset, or how to evaluate your RAG?

Monica Kadlay in Data Science at Microsoft

Techniques for enhancing OCR accuracy by assessing image sharpness

Xikai Zhao in Data Science at Microsoft

Using causal inference to measure business impact after program launch

Alternatives for when…

Iswarya Murali in Data Science at Microsoft

A computer in a library full of old books with sunlight peeking through the window

Trustworthiness of Generative AI: Reducing hallucinations and increasing transparency

Data Science at Microsoft

Lessons learned in the practice of data science at Microsoft.

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