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Re:Don’t Democratize Data Science by streetcat1 on Thursday May 07, 2020 @09:47PM (#23110534)
So I do not think that this is a black/white situation.

I do agree, that any auto ml tool, cannot know what is the correct data sources for a specific use case, nor does it know the business case value of a specific model.

Auto ML should not replace humans, but work with them. I.e. it is a tool.

This tool can do the following:

1. Auto visualization.

2 Auto feature engineering.

3. Auto backtesting.

4. Auto training (with cost optimization).

5. Hyperparameter optimization.

6. Auto model packaging.

7. Autoload testing and auto security testing.

7. Auto deploy / scale / SLA.

8. Auto monitor.

The goal of AutoML is to save time and reduce risk. I am not sure why you want to do all of the above manually.

Re:Don’t Democratize Data Science by sorteranon on Thursday May 07, 2020 @09:58PM (#23110603)
I'm all about AutoML but the best data scientists do what the author says: They try to understand the problem in detail first. I think fewer and fewer do this well.
Re:Don’t Democratize Data Science by streetcat1 on Thursday May 07, 2020 @10:09PM (#23110667)
Absolutely, auto ml cannot know your problem, as a word processor cannot know what book you want to write.

The goal of AutoML is to compress the time/money from idea/problem def to running models, it is not to replace the data scientist.