1. Reliability A large data science project can be broken down by constructing a combination of sub-models that can be conjoined with one another or stacked.

Simple science descriptions are preferable to and more beneficial than complex ones, and AI tools can help. But scientists could also achieve the same goals by working harder to minimize jargon ...