KDnuggets

Data Science, Machine Learning, AI & Analytics
  1. A practical guide for developers and data practitioners to build expertise in generative AI systems, from foundation models to production deployment.
  2. Learn the key CLI commands for automated competition submission, downloading and uploading data, running code on free cloud compute, and accessing large AI models.
  3. Learn how to eliminate manual SQL reporting with an n8n workflow that automatically queries your database, formats professional HTML reports, and regularly emails them to stakeholders.
  4. You have a non-tech background? Sure, you can transition into AI. Here are five practical ways of doing it.
  5. AirTable combines the best of spreadsheets and relational database management systems: discover in this article how to get started with this plataform for data analysis.

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