You Don’t Need to Be a Mathematician to Be an MLOps Engineer
Why Systems Thinking, Not Calculus, Will Make You Great at ML Infrastructure
Most people think MLOps is just DevOps with more math. That’s wrong.
To become a great MLOps Engineer, you don’t need to master calculus, probability theory, or derive the backpropagation algorithm.
You need to understand machine learning workflows and build reliable, scalable infrastructure that supports them.
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