Machine Learning for Software Engineers

Re:Machine Learning for Software Engineers by mamon on Tuesday November 08, 2016 @11:50AM (#12901758)

CUDA, MPI, C++ these are the deep internal layers most software engineers working on Machine Learning would never need to interact with. Please learn Python instead. R and Matlab (Octave) might also be helpful.

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Re:Machine Learning for Software Engineers by p1esk on Tuesday November 08, 2016 @11:54AM (#12901799)

My comment is intended for people who want to become ML Engineers, not software engineers curious about ML.

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Re:Machine Learning for Software Engineers by kajecounterhack on Tuesday November 08, 2016 @04:10PM (#12903970)

No, your comment is intended for people who want to become ML infrastructure engineers of a very specific type.

If you don't know that stuff but know generally how ML processes work (measurements, models, data partitioning and cleaning), and you start getting to know the frameworks (e.g caffe/tensorflow/torch) you'll do just fine.

Like, you can know what MapReduce is and how it works and just use abstractions over it, never having implemented it yourself, and you're still a data engineer.

It's a myth that X engineer needs to know everything about field X. There are different levels of everything, and different ways to get there.

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Re:Machine Learning for Software Engineers by RandomInteger4 on Tuesday November 08, 2016 @04:22PM (#12904054)

Or better yet, learn C, C++, CUDA, MPI, Python, and R simultaneously.

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