The Emergence of the full stack ML engineer
The history of Full stack, Machine learning which results in the mergence of the ML full stack engineer
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My thoughts on Technology, Philosophy, Poetry and Python.
The history of Full stack, Machine learning which results in the mergence of the ML full stack engineer
Problems in the ML ecosystem. Fragmentation in machine learning, that keeps preventing the stack from growing higher. How I took a stab at the issue.
Dependency hell in python, and the problem of consistent environments when dependencies do not agree. There are tools like pipenv that take a proper stab at this problem, but the they don't solve virtual-environment portability. I show how you can use pipenv with pyenv to get powerful environments across different versions of python