Does Deep Learning make Feature Engineering obsolete?

Session
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Infos
Wednesday, June 19 2019
15:00 - 16:00
Room:
Cuvillies 2

Machine learning is all about the data. If the data set is good – in most cases, you will not need a complex algorithm to solve your problem. However, if it is not, constructing an informative feature vector can be very challenging. At least that was the case for quite a while. Some people believe that with the increasing efficiency of deep learning algorithms, feature engineering has become less important or even obsolete.

First we will have a quick catch-up on feature engineering basics. Than, based on real world cases, we will look into applications of FE in different subject fields and try to give an honest opinion on the question raised above, "is feature engineering obsolete?"

Behind the Tracks