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Your comment reminds me so much of my PM who asks questions like these to give an appearance that he is putting in some serious effort and energy to understand.
by srean 8y ago
Your comment reminds me so much of my PM who asks questions like these to give an appearance that he is putting in some serious effort and energy to understand. Add a few words like 'value', 'leverage' and 'resonate' and the impersonation would be pitch perfect .... Looks up contact detail oops spoke to soon should have guessed.
- mooneater 8y agoHaha :) My comment is precisely aimed at reducing the energy needed to understand the value prop here. Why is that bad? My assumption is that would be helpful to other readers and thus the author. Do you prefer having key information buried?
- mooneater 8y ago> 'value', 'leverage' and 'resonate' You could not be more wrong about my perspective though. My question is from this perspective: I use tensorflow, keras, numpy, scikit-learn, pandas, and Im looking to understand how I would integrate these.
- mcrad 8y agoBy the same token, your comment reminds me of an engineer who puts serious effort into making his work look more important than it is. Even the term "feature engineering" is pretty ridiculous. As if academics found real-world data to be too messy and decided to outsource this little cost to.....a department of expert feature-makers(?)
- srean 8y agoAsk around in ML quarters how important is feature engineering that will sort things out for you.
- mcrad 8y agoUsed to work in machine vision so I do kind of understand the basics of model development and testing. Hope your PM situation improves :)
- srean 8y agoMachine vision is actually a good place to be in this context. There is a lot of institutional knowledge on what good features are, and if you have enough data DNNs can do a lot of heavy lifting. If you arent doing DNNs, the decision on how you featurize the problem will probably play the most significant role. Its some of the other areas of ML where its not known ahead of time what the good features would be that tooling for feature engineering would help a great deal. Especially when one doesn't have the luxury of throwing a DNN at it and be done with it. The situation has both good and bad parts, the good part is that there is a lot of space to be creative in the design of features.
- mcrad 8y agoCool, thanks. I suppose financial/risk modeling is also primarily "feature engineering"; I've just never seen it as separate from the modeling itself. Perhaps it's because I've typically been as involved in the domain expertise as in the math part.