Art of Feature Engineering for Data Science - Nabeel Sarwar

"We will discuss what feature engineering is all about , various techniques to use and how to scale to 20000 column datasets using random forest, svd, pca. Also demonstrated is how we can build a service around these to save time and effort when building 100s of models. We will share how we did all this using spark ml to build logistic regression, neural networks, Bayesian networks, etc.
Session hashtag: #EUds12"
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[@felipemaia3458]

Great talk! In-depth and well done explanation! Very much like a class!

[@NabeelSarwarSpaceMan]

Thank you!

[@alexcipriani6003]

Did he say Comcastis trying to improve customer experience ?

[@azulzao]

Great presentation! Very good indeed. The only thing I would suggest for future presentations is to reduce the amount of text per slide (maybe by adding some examples).

[@NabeelSarwarSpaceMan]

Thanks very much!

[@annawilson3824]

17:08 is why autofeat was developed)

[@tahaalawadhi8389]

Very informative!

[@nelsonjma]

excelent presentation.

[@NabeelSarwarSpaceMan]

Thank you!

[@kigvader]

Are the slides available online?

[@SalsaSteve]

doesnt drive??? how much they paying at comcast????

[@Diamond_Hanz]

is it me or is this guy trying to hard? i d k. its just me