Row 90231

Row ID: 90231 | Dataset Entry | Axioma AXP Content Repository

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I definitely agree there is some degree of benefit of implementing algorithms from scratch because often times people don't really have mathematical intuition and just blindly use packages. Sometimes I low-key get disappointed because I see data scientists use sklearn's implementation of SVM but not know what a RBF kernel is or can't derive something trivial like bias variance tradeoff for mse. I don't expect ppl to be able to bound the hypothesis space for something like pac learning but they definitely should know the very basics such as why autodiff works and criterions needed for a model to converge.

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text I definitely agree there is some degree of benefit of implementing algorithms from scratch because often times people don't really have mathematical intuition and just blindly use packages. Sometimes I low-key get disappointed because I see data scientists use sklearn's implementation of SVM but not know what a RBF kernel is or can't derive something trivial like bias variance tradeoff for mse. I don't expect ppl to be able to bound the hypothesis space for something like pac learning but they d…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-25
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  "text": "I definitely agree there is some degree of benefit of implementing algorithms from scratch because often times people don't really have mathematical intuition and just blindly use packages. Sometimes I low-key get disappointed because I see data scientists use sklearn's implementation of SVM but not know what a RBF kernel is or can't derive something trivial like bias variance tradeoff for mse. I don't expect ppl to be able to bound the hypothesis space for something like pac learning but they definitely should know the very basics such as why autodiff works and criterions needed for a model to converge.",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-25",
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}
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