May 19 · 13 min read · Part 2 of the ML Engineering series — where clean data meets production-ready code. Why pipelines matter more than your algorithm choice There's a humbling pattern every ML engineer eventually faces:
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Apr 29 · 5 min read · He pasado años enseñando ciencia y tecnología. Además soy un lector frecuente de la ciencia ficción, a veces con la misma intensidad con la que preparo una clase o aprendo sobre TIC o AI . En algún pu
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Apr 15 · 26 min read · When building a machine learning model, it's tempting to train it on your data, check the score, and call it done. But that score is misleading — the model has already "seen" the data it's being evalu
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Mar 29 · 19 min read · TLDR: 🛠️ Feature engineering transforms messy real-world data into ML-compatible input. Bad features break even the best models — good features make simple algorithms shine. This guide covers scaling
Join discussionMar 16 · 6 min read · By Sharath Chandra Reddy Dumpali · M.S. Computer Science, University of New Haven The Problem Your smartphone knows when you're walking, running, or sitting — but how does it actually figure that out
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Feb 24 · 14 min read · Introduction Building a fitness application that recommends exercises sounds straightforward until you encounter the complexity of real-world constraints. A user wants to build upper body strength, but they're working out at home with only dumbbells ...
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Feb 20 · 14 min read · Introduction Building a fitness application that recommends exercises sounds straightforward until you encounter the complexity of real-world constraints. A user wants to build upper body strength, but they're working out at home with only dumbbells ...
Join discussionFeb 20 · 14 min read · Introduction Building a fitness application that recommends exercises sounds straightforward until you encounter the complexity of real-world constraints. A user wants to build upper body strength, but they're working out at home with only dumbbells ...
Join discussionFeb 20 · 14 min read · Introduction Building a fitness application that recommends exercises sounds straightforward until you encounter the complexity of real-world constraints. A user wants to build upper body strength, but they're working out at home with only dumbbells ...
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