Experts are irritated by how machine learning ignores their knowledge, but it’s often that ignorance that allows it to discover things they didn’t know.
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nope.. they are irritated by those people who have limited understanding of the subject/dataset and they randomly try models that 80% of them are destined to fail and only a true expert can derive some useful results out of them.
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I am talking about leading researchers in the field cause if we include students using bad kaggle data who cannot decide which NN architecture to use and why and just copy tutorials tweaking randomly parameters, then we are talking about a 0.00001% success rate!
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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