Dataflows were rightly? considered 'the slowest and least performant option' for ingesting data into Power BI/Microsoft Fabric. However, things are changing rap...
Longer summers, milder winters: analysis of temperature trends in Uzès, France, year after year. The post Under the Uzès Sun: When Historical Data Reveals the C...
Hello everyone! 👋 I'm currently working on NichebrAI, a project where I'm experimenting with machine learning models to analyze historical data from lotteries...
My Background Hello DEV community 👋 I’m Ahmed Anter, a math teacher who unexpectedly fell in love with code. My journey into programming started in the classr...
In traditional software development, iteration is king. We are taught to think sequentially: take an item, process it, store the result, and move to the next. H...
A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons learned along the way. The post Beyond the Flat...
Hands-on walkthroughs of problems and solution approaches that power real‑world data science use cases The post Data Science Spotlight: Selected Problems from A...
Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data is tricky. Traditional forecasting models are unprepared for incidents...
My take after 10 years in Supply Chain on why this can be an excellent playground for data scientists who want to see their skills valued. The post Why Supply C...
Part 2: Avoiding burnout, learning strategies and the superpower of solitude The post The Best Data Scientists Are Always Learning appeared first on Towards Dat...
Article URL: https://philippdubach.com/standalone/hn-sentiment/ Comments URL: https://news.ycombinator.com/item?id=46512881 Points: 34 Comments: 20...
What is Causal Machine Learning Engineering? Causal Machine Learning Engineering is a way of building machine learning models that can understand cause‑and‑eff...
