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@patmikemid@sfba.social

Post #1457401

2025-11-14 16:31 UTC

@davidculley @mariyadelano To your point, I was reviewing what is referred to as the “Machine Learning Lifecycle” yesterday and this is the first step: “Step 1: Problem Definition The first step is identifying and clearly defining the business problem. A well-framed problem provides the foundation for the entire lifecycle. Important things like project objectives, desired outcomes and the scope of the task are carefully designed during this stage. Collaborate with stakeholders to understand business goals Define project objectives, scope and success criteria Ensure clarity in desired outcomes” I’m thinking, isn’t that always the first step? https://www.geeksforgeeks.org/machine-learning/machine-learning-lifecycle/

Replies (1)

  • @davidculley@hachyderm.io 2025-11-14 17:41

    @patmikemid Yeah, if you don't want to waste time working on the wrong problem, you should first think through what the problem even is, what its boundaries are, what you want to specify as in scope and what as out of scope, and how success would look like.

    Open ##1457402