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Comment by dorian-graph | Hacker News Reader

  * 80% of machine learning is software engineering. If you're a strong software engineer, with some good math foundations (calculus, probability, matrix algebra), you can make significant contributions.

Do you have some examples of this? I'd love to have a look at some real world ones.

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Not sure if this is what you're looking for, but Andrew Ng touched on a lot of pragmatic parts of software engineering in machine learning teams at Deep Learning School: https://www.youtube.com/watch?v=F1ka6a13S9I&t=3380s

Not sure what example you want. If you are talking about code, take a look at the torch source code. It is pretty accessible.

scikit-learn is a poster child for best practices in machine learning engineering.

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