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Forget data silos. You can build a modern data lakehouse that gives you transactional consistency, schema evolution, and top-tier performance, all in one place with Apache Iceberg and Apache Spark. #DataLakes  🔗 kdnuggets.com/2025/07/google…

Want to understand how ETL really works? Start here with a simple Python pipeline that covers the essentials. f.mtr.cool/pjauznfdfu

Forget data silos. You can build a modern data lakehouse that gives you transactional consistency, schema evolution, and top-tier performance, all in one place with Apache Iceberg and Apache Spark. f.mtr.cool/sctvgavcsg

Pandas DataFrames are powerful and versatile data manipulation and analysis tools. #teachthemachine f.mtr.cool/jsxztokqaa

You already know who reads KDnuggets. Data scientists. ML engineers. The brains behind the products. If you’re building for them, this is where your message should be. 📈 Download the media kit: kdnuggets.com/media-kit?utm_…

Retrieval-augmented generation (RAG) has shaken up the world of language models by combining the best of two worlds: <a href="f.mtr.cool/mufnwzazki #teachthemachine f.mtr.cool/kvtvjqdeov

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. f.mtr.cool/amhbslaxne

Docker Desktop transforms how statisticians work with R by providing isolated, reproducible environments that eliminate version conflicts and setup complications.  #statology f.mtr.cool/nkmwulueuh

Looking further than train-test split and cross-validation, there are specific strategies for validating machine learning models that are tailored to specific situations or goals. Discover here how to choose ...  #statology f.mtr.cool/lcuaceubvh

You have a non-tech background? Sure, you can transition into AI. Here are five practical ways of doing it. f.mtr.cool/lzcalgstff

Most companies wait too long to start educating their technical buyers. By the time they’re ready to buy, someone else already earned their trust. That’s where highly targeted technical media like KDnuggets makes a difference. Everyday we release articles that the technical

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. f.mtr.cool/iwbmbiujax

Docker containers eliminate the complexity of managing Python package dependencies while ensuring your statistical analyses run consistently across different systems.  #statology f.mtr.cool/hcwbbzrqum

Learn the key CLI commands for automated competition submission, downloading and uploading data, running code on free cloud compute, and accessing large AI models. f.mtr.cool/fvignazgvf

This guide provides a complete overview of the t-distribution, a few common areas where beginners are blocked in understanding how to use the t-distribution, and how to conceptually visualize and apply the t-...  #statology f.mtr.cool/lcecpucpsi

For years, researchers have relied on benchmarks like MovieLens, Yelp, and the Netflix Prize dataset. While foundational, these datasets are often too small, outdated, or limited in scope to accurately reflect the complexity of modern recommender engines. That’s starting to

A practical guide for developers and data practitioners to build expertise in generative AI systems, from foundation models to production deployment. f.mtr.cool/lrkwcysyjj

This article will demonstrate a better way: loop optimization with Cython.  #statology f.mtr.cool/ssvxgamqvo

This article looks at 10 useful — and perhaps surprising — things you can accomplish with Python's datetime module. f.mtr.cool/ffmjfxpomg

When we talk about data, we’re really talking about stories about people, behavior, choices, and patterns. And distributions are one of the best ways to tell those stories.  #statology f.mtr.cool/gpgkwxsczp