Recommendations for Further Reading
Data scientists work tirelessly to build and train a model then face the daunting challenge of deploying it into production. The model itself is only a fraction of the overall ML system.
Most projects naively assume that most of the time and resources will be spent in the “black box,” building the machine learning (ML) model, whereas a majority of the project time is actually needed in the green boxes – the ML system.
A Guide to Ops Terms and Whether We Need Them It is challenging to coordinate a group of people working toward a shared goal. Work involving large teams and complex processes is even more complicated. Technology-driven companies face these challenges with the added...