The brand new KDnuggets ballot is asking:
When will AutoML change Information Scientists (if ever)?
Automated machine studying and knowledge science are subjects of sizzling dialogue of late, and for good cause. There are a plethora of instruments having come obtainable to knowledge scientists over the latest previous, offering quite a lot of automated capabilities starting from knowledge preprocessing, to knowledge modeling, to mannequin choice, to knowledge visualization, and past. What we want to know is that if and whenever you really feel these instruments will grow to be succesful sufficient to outright change human knowledge scientists.
We beforehand requested this query in a 2015 poll, so it is going to be attention-grabbing to match the outcomes of this iteration with the earlier.
A latest in style KDnuggets weblog, The Death of Data Scientists – will AutoML replace them?, written by Joseph Chin, particularly handled AutoML. The article supplied some perception utilizing comparability metrics between people and automation, akin to prices and efficiency, and adopted up with some dialogue and attention-grabbing takeaways. You might wish to have a look at the article if you have not already carried out so.
Participate by answering the few questions beneath.
We sit up for bringing you the outcomes and evaluation as soon as the ballot has closed.