3 ms·
Don’t Democratize Data Science
- tornt 6y agoit’s a counterintuitive argument but I completely agree
- uxsort 6y agoCan you imagine trying to democratize phd level mathematics? This boot camp shit has gotten insane.
- streetcat1 6y agoSo 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.
- sorteranon 6y agoI'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.
- streetcat1 6y agoAbsolutely, 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.