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A comment on Ask HN: Why AI and Data Science projects have a high risk of failure?.

Re:Ask HN: Why AI and Data Science projects have a high risk... by logicslave on Thursday October 15, 2020 @02:34PM (#24792078)
1.) Most data scientists are not good enough at math to take an existing model and use it for a different purpose. Usually there needs to a model whos mathematical properties match almost exactly to their needs (this is usually the case).

2.) The data is bad

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Re:Ask HN: Why AI and Data Science projects have a high risk... by umermirzapk on Saturday October 17, 2020 @04:26PM (#24813010)
Understanding of the statistical methods and machine learning models is imperative to have but why for example IBM’s Watson for Oncology Project Cancelled After Spending $62 Million. Wasn't they had proper skill set and data?
[ Parent | on HN ]