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OutrageousSundae8270 t1_ivqynjm wrote

TensorFlow/Keras and PyTorch are the gold standard for deep learning frameworks within the industry, and these are both Python frameworks. It's not just about it being open source, its more about it being the tool of the trade. Nobody is going to employ you within a team that uses Python frameworks for deep learning, unless you are skilled at those frameworks.

MATLAB isn't really popular for deep learning, even though it does facilitate some deep learning capabilities (relative to Python).

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ISlingStocks t1_ivr38zl wrote

This was extremely helpful. What are your thoughts on R? Similar to MATLAB? My understanding is R is great with statistical analysis (therefore shouldn't be shocked that is has robust deep learning capabilities) but Python is just so much more utilized because of the community as whole.

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OutrageousSundae8270 t1_ivr463t wrote

From my perspective, R is great for certain tasks (more related to classical machine learning and statistical analysis as you have mentioned). There are several libraries that have demonstrably better implementations in R than Python (lme4 comes to mind).

I will have to circle back to the same point regarding deep learning and Python. Whilst R does offer deep learning capabilities in its modern iterations, the uptake of using R in such a fashion pales in comparison to the uptake of Python, so the same comment I made about MATLAB still applies.

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ISlingStocks t1_ivr574c wrote

Thanks for the thorough response! I'll have to check out lme4.

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