[HN Gopher] The death of feature engineering is greatly exaggerated
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The death of feature engineering is greatly exaggerated
Author : agnosticmantis
Score : 30 points
Date : 2021-12-20 03:17 UTC (19 hours ago)
(HTM) web link (petewarden.com)
(TXT) w3m dump (petewarden.com)
| anonymousDan wrote:
| As a non ML expert, I never quite understand where you draw the
| line between feature engineering and the architecture engineering
| required for Deep Learning to work. Is it just a spectrum or is
| there some fundamental difference?
| ford wrote:
| I'm assuming by architecture engineering you mean the process
| of choosing the model + hyperparameters that perform best.
|
| I think of feature vs architecture engineering as two not-quite
| perpendicular axes that you can do work on. Feature engineering
| involves selecting & transforming inputs such that the model
| has access to the most meaningful/easiest to interpret data.
| Architecture engineering involves choosing the appropriate
| model architecture.
|
| Suppose we were building a model to predict a business's sales
| for the next 12 months based on the prior 12 months.
|
| An important input is the sales for the prior year. A feature
| engineering task would be choosing to take the sum, median, or
| average sales per day based on what you know about the
| distribution.
|
| Architecture engineering would involve trying a few different
| models & tuning their hyperparameters to be most accurate.
|
| The two areas are related - because you may know that the
| business's sales on one day are highly dependent on the
| previous few days. Knowing this, you may instead choose
| features + an architecture that instead of predicting sales for
| an entire 12 months period, predicts sales on a day-by-day
| basis (which can then be summed).
| 1cvmask wrote:
| Here is a post on why feature engineering is easier in fact:
|
| https://gab41.lab41.org/feature-engineering-is-just-easier-1...
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(page generated 2021-12-20 23:00 UTC)