Data Science #23

In this issue: a comprehensive guide to modeling techniques in mixed-integer linear programming; GGUF, the long way around; automated statistical model discovery with language models; improving LLM understanding of structured data and exploring advanced prompting methods; pandas-ai: chat with your database; and more.

The sponsors of this issue are Galileo and True Positive Inc .

• A comprehensive guide to modeling techniques in mixed-integer linear programming
• GGUF, the long way around
• [ArXiv] Automated statistical model discovery with language models

• [Sponsored] Learn from top GenAI experts at GenAI Productionize 2024

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• [Tool] pandas-ai: Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc)
• [ArXiv] Large language models on tabular data: Prediction, generation, and understanding -- a survey
• [Microsoft] Improving LLM understanding of structured data and exploring advanced prompting methods
• [Sponsored] The best way of learning machine learning in 2024
• End-to-end spatial data science 2: Data preparation and data engineering using R
• Good engineers, bad engineers, and evil engineers — an anecdote for data leaders

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