Most ML engineers don’t fail because they lack knowledge. They fail because they’re solving the wrong problem. 🚨 The Hard Truth Most ML engineers are trained to: Optimize models Improve accuracy Tune hyperparameters But real-world systems don’t fail because of bad models. They fail because of: Bad system design 🧠 The Root Problem ML education focuses on: Dataset → Model → Accuracy
Why 90% of ML Engineers Struggle in Real-World Systems
Siddhartha Reddy·Dev.to··1 min read
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