Data Science, Machine Learning, AI & Analytics
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A practical guide for developers and data practitioners to build expertise in generative AI systems, from foundation models to production deployment.
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Learn the key CLI commands for automated competition submission, downloading and uploading data, running code on free cloud compute, and accessing large AI models.
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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.
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You have a non-tech background? Sure, you can transition into AI. Here are five practical ways of doing it.
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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.