Machine learning is not just an algorithm thing. It is a process.
https://fossbytes.com/goo...ification-engagement Common framework analogy - data prep and wrangling are critical to machine learning success, as near-surface statics in land seismic data processing. No matter how sophisticated the imaging and inversion algorithms deployed, they cannot fix what is not taken care of diligently and methodically at the beginning of the workflow.