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by montenegrohugo 2844 days ago
We use DL at my company. It's used to help and suggest the people in data input what some of the inputs should be. It's been getting better over time as it collects more data points.

Apart from that, I'm also personally responsible for implementing DL for data anomaly detection.

So yes, ML/DL is very much over-hyped right now, but it has real world tangible benefits. It is being used in multiple fields and I believe will grow quite fast.

1 comments

Hi, what services do you use for data annotation? We've been using DL for some projects of ours and had to set up a data annotation team (remote) to get more control over the labeling process. We are looking to see if others might be interested in utilizing a service like ours, which will also help the people we've acquired gainfully employed. At present we are mainly looking at taking on small projects. If this is of interest, please do let me know! I posted about this here, but hasn't surfaced enough to generate conversation https://news.ycombinator.com/item?id=17874184
Hi Chaitanya,

That's quite an interesting project you have. Unfortunately probably not really relevant to my use case since two skills are necessary:

1. (good) control of the native language (not english) 2. Understanding and experience at the subject field

I don't want to give too many details but the workflow basically consists of taking a poorly labeled entry and expanding/filling out the missing fields. To do this you both need to speak the language and have some experience in the field.

As for the data anomaly detection I don't do any data annotation

Anyways, sorry it's not really relevant to my case but good luck, I think it's a great project that certainly has a lot of potential. Maybe in a future stage you might be interested with partnering up with a platform like coursera to form your workers to do slightly more complex data annotation jobs (like mine).

Regards

Thanks for your response! Partnering with Coursera is an intriguing idea; will look into that. Thank you