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Most people including ones here don't understand the value prop. In ML, the model (and modeling) is an afterthought that takes 3 lines of code. The value-add is
by eanzenberg 8y ago
Most people including ones here don't understand the value prop. In ML, the model (and modeling) is an afterthought that takes 3 lines of code. The value-add isn't the model or modeling, it's the feature generation and methodology. When (and if) this gets automated then yes, it will make life hard on many data scientists. But I don't see it happening within 20 years and most likely not within my lifetime.
- streetcat1 8y agoI am not sure why you do not see that happening. Driverless AI from h2o does a full feature engineering search. Also, I assume that you want to automate the features search in order to prune the non signal. I am not sure what you mean by methodology? The one thing that I, as a tool developer, do not understand is how humans would be able to handle hundreds of models, including retraining/monitoring and deployment without automl.
- eanzenberg 8y agoNot every AI problem is computer vision or NLP.
- RandyRanderson 8y agoCompletely agree. This needs to be the top comment.