MSvanaOne thing I am currently learning at my new job is that simple heuristics can often improve the performance of an ML system by a lot.
Jerry WatsonInside Machine Learning PoCs: Planning & Execution Explained
Explore how Machine Learning Proof-of-Concepts are built from idea to validation. Understand the methods used to test feasibility, reduce risks, and ensure ML models meet real-world needs.
https://www.amplework.com/blog/machine-learning-poc-explained/
#MachineLearning #MLPoC #AI #ProofOfConcept #MLEngineering #DataScience #AIProjects #TechStrategy
PromptCloudStructured data drives AI. But messy inputs? They stall everything.
We’ve listed six parsing issues you should be watching for.
👉 Read the blog to know more: https://shorturl.at/vuJjw
#AIanalytics #MLengineering #DataWrangling #ParsingProblems #TechStrategy #BigData
Domain-Driven Design EuropeJoin us for hands-on Machine Learning deployment training! You'll analyse errors, tweak models, and push to production using real-world engineering patterns—way beyond the "drop your model on S3 and call it a day" approach. Gain practical experience with sophisticated ML engineering techniques that you can immediately apply on the job. #MLEngineering #AITraining
👉 https://ddd.academy/put-an-ml-model-in-production/
👉 https://ddd.academy/put-an-ml-model-in-production/
Vladimir MikhalevTraining a model is easy. Reproducing it? 🤔 That’s where the real game begins.
No CI/CD ⚙️ No versioning 🕵️ No logs
Just vibes ✨ and an old dataset no one remembers.
That’s why ML needs DevOps 💥
Why Your ML Models Fail in Production
sodakaidotcomCore Principles of MLOps
MLOps: Machine Learning Operations
#MLEngineering #MLOps #MachineLearning
http://sodakai.com/2025/03/02/mlops-machine-learning-operations/
MLE PathEarly in your ML career, every decision feels irreversible. But the best engineers don’t aim for perfection—they build with reversibility in mind.
Understanding the difference between one-way and two-way doors will help you iterate faster and build better.
Judith van StegerenA few tips for optimizing Pytorch model training time from a Yandex ML engineer.
https://alexdremov.me/simple-ways-to-speedup-your-pytorch-model-training/
#ml #mlengineering #modeltraining #pytorch #modeloptimization
