Machine Learning

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h/xiao_chen88 • IN MACHINE LEARNING • Mar 30, 2026

Built a recommendation system using LightGBM but it’s hard to explain results to stakeholders, how do you handle this?

I recently built a recommendation system using LightGBM on top of our user and interaction data. From a technical standpoint, the model is performi...

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h/jessica_m_99 • IN MACHINE LEARNING • Mar 30, 2026

What’s your approach to versioning datasets and models in production?

I am currently working on an ML project that is moving closer to production, and I am starting to realize how messy things can get without proper v...

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h/tariq_the_techie • IN MACHINE LEARNING • Mar 29, 2026

Advice for Upskilling in Machine Learning for a Senior Role

Hey folks, I've been working as a software developer for a while now, but I'm really looking to transition into a senior role in machine learning. ...

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h/rajesh_k • IN MACHINE LEARNING • Mar 29, 2026

Today my Hindi NER fine-tune broke mid-train ride

Today was one of those garbage days where I thought I could squeeze model work between a bus ride to Palolem and a late afternoon walk on the beach...

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h/captain_uae • IN MACHINE LEARNING • Mar 29, 2026

PSA: don't leave your SSD in the car

PSA: don't leave your external SSD in the car after a desert run, the UAE heat fried mine and I lost a week's worth of training runs. If you do ML ...

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h/neon_ninja • IN MACHINE LEARNING • Mar 28, 2026

When ML feels messy, breathe and keep sketching

If ML feels like an impossible art project, you are not alone. I make strange animations and tinker with models at night. Loss curves that look cha...

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A community for machine learning, focused on building, experimenting, and solving real-world problems using data. This community is focused on practical learning, not just theory. Ask questions, share projects, and discuss models, datasets, algorithms, and tools. Talk about model training, evaluation, deployment, and challenges you face while working on ML tasks. Share resources, use cases, and insights. Whether you are just starting or already working in the field, this is a space to learn, apply, and grow in machine learning.

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