In this blog I will be covering the engineering behind ML Systems - trying to understand how ML production are built in the real world and
engineering challenges behind them. I will also be covering ML as a business solution to a problem - this will cover parts of the algorithm
design but also on the engineering side of it.
To summarise don't be too upset if I don't spend too much time diving into ML/DL algorithms itself although I will do my best to explain it briefly and also link resources for it
My motivation for learning about this topic - link
February 18, 2024 - What and Why Machine Learning Engineering