Data Science #30

In this issue: becoming data driven, from first principles; a framework for quantifying individual and collective common sense; a bird's eye view of Polars; forecast evaluation for data scientists: common pitfalls and best practices; forecasting: principles and practice; and more.

The sponsor of this issue is Galileo.

• Becoming data driven, from first principles
• A framework for quantifying individual and collective common sense
• A bird's eye view of Polars
• [Sponsored] Mastering RAG – A Developer's Guide to Enterprise-Grade RAG Systems

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• Forecast evaluation for data scientists: Common pitfalls and best practices
• “Keeping the polynomial monster under control"
• Databases are falling apart: Database disassembly and its implications
• [Book] Forecasting: Principles and Practice
• [Tutorial] Binary logistic regression in R

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