Machine learning is still too hard for software engineers ↦
For a software engineer, the hardest thing about developing Machine Learning functionality should be finding clean and representative ground-truth data, but it often isn’t. If you already have a source of good quality data (perhaps because it is already gathered by your application), here are some obstacles that still lay ahead of you
From the difficult to grasp concepts to the varied (and variable quality) software you’ll need to explore and manage the data, there’s still a lot of obstacles in our path before we can put a model to good use.
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