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Data Science at Microsoft
Lessons learned in the practice of data science at Microsoft
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Andreas Stöffelbauer
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Data Science at Microsoft
Oct 23, 2023
How Large Language Models work
From zero to ChatGPT
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Jane Huang
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Data Science at Microsoft
Mar 5
Evaluating LLM systems: Metrics, challenges, and best practices
A detailed consideration of approaches…
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Jane Huang
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Data Science at Microsoft
Feb 20
Harnessing the power of Large Language Models: A comparative overview of LangChain, Semantic
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302
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Deepsha Menghani
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Data Science at Microsoft
Aug 5
How I built a Superhero Facts RAG QA Bot using LangChain, Qdrant, and OpenAI
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156
1 response
Kaixin Wang
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Data Science at Microsoft
Nov 7, 2023
Introduction to clustering-based customer segmentation
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118
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Abhishikta Bandyopadhyay
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Data Science at Microsoft
Aug 12
Exploring the potential of Small Language Models
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Francesca Lazzeri
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Data Science at Microsoft
Oct 4, 2021
Introduction to feature engineering for time series forecasting
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454
6 responses
Jane Huang
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Data Science at Microsoft
Nov 4, 2020
Causal inference (Part 2 of 3): Selecting algorithms
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430
4 responses
Saveale
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Data Science at Microsoft
May 20
The path to a golden dataset, or how to evaluate your RAG?
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Lisa Cohen
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Data Science at Microsoft
Jun 21, 2021
Data science learning resources
Books, courses and articles to grow your data science foundation
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234
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Data Science at Microsoft
Lessons learned in the practice of data science at Microsoft.
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