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> Acually fitting the model is not the hard part. Ideally you shouldn’t be fitting the model yourself. The idea behind ML is to use brute force computation.
by mr_toad 8y ago
> Acually fitting the model is not the hard part.
Ideally you shouldn’t be fitting the model yourself. The idea behind ML is to use brute force computation.
If you’re fitting the model by hand, you’re a Statistician.
- Analog24 8y agoStatisticians do not fit models by hand, they "fit" models in the same way machine learning pratictioners "train" models. "Fitting" in statistics lingo is completely synonymous with "training" in ML lingo. Statisticians were the original ML practitioners.
- steve19 8y agoI will second this. I use the two words interchangeably. I would probably use the word fit when talking about liner regression and train when talking about a more complex ML model that requires more computation. I really don't remember the last time I fitted a regression model by hand, it would have probably been in a college exam.