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A comment on Deep Learning - The Biggest Data Science Breakthrough of the Decade. Parent comment

Re:Deep Learning - The Biggest Data Science Breakthrough of ... by mshron on Thursday March 14, 2013 @04:19PM (#5377451)
Not the OP but:

* Problem definition

* Infrastructure

* Data transformation

* Exploratory analysis (arguably part of model work)

* Results presentation

Then again, this is an ongoing disagreement I have with the Kaggle folks over what constitutes "data science," where I'm pretty confident that "applied machine learning" is a better explanation of what their contests are about.

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Re:Deep Learning - The Biggest Data Science Breakthrough of ... by lrei on Thursday March 14, 2013 @07:16PM (#5378241)
I see. Thanks.

I'd say data transformation is a part of feature engineering (commonly the bulk of the effort in a ML application). And exploratory analysis is part of model work. W/o those 2 one would be building a model out of dreams and wishes.

Data Science is probably a poorly chosen description. I'd say common use includes infrastructure work which for most of us consists in engineering work.

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Re:Deep Learning - The Biggest Data Science Breakthrough of ... by rm999 on Thursday March 14, 2013 @04:32PM (#5377514)
I kind of got them to say it here:

https://news.ycombinator.com/item?id=4655927

BTW, I'm a big fan of the data analysis that came out of okcupid, is that all your work?

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