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This gave me a chuckle. If you read the feature article you understand that this is also because management wants “decision driven data.” They have an idea and
by 2devnull 4y ago
This gave me a chuckle. If you read the feature article you understand that this is also because management wants “decision driven data.” They have an idea and use ds to provide charts and tables to support their idea. The harder the idea is to support, the greater value data science is able to provide.
I guess data science is inferior to research in this way. People care about research methods, rigor, etc… Maybe data scientists should adopt stricter standards, like actual scientists.
- samvher 4y agoI did read the article - some of the problems with judgements of work quality also come up with (hypothetical) well-intentioned truth-seeking non-political long-term-optimizing managers who just don't happen to be stats experts.
- 2devnull 4y agoSorry, wasn’t trying to imply you didn’t and I fully agree. Even managers that know stats can be busy or but into hype about ml or other shiny new things that they don’t have time or resources to deconstruct. This is another big problem with data science, “black box” systems and cargo cults. It’s easy to think “LLMs will change the world! We should use them, the competition will.”