Ask HN: Machine learning engineers, what do you do at work? • Hacker News Board

Re: Ask HN: Machine learning engineers, what do you do at work?

#231

Post by hirako2000 » Tue, Jun 11, 2024, 5:28 AM UTC

ZenMikey wrote: post #164

hirako2000 wrote: post #4

The amount of response may be self explaining. Not my main work, but spending a lot of time gluing things together. Tweaking existing open source. Figuring out how to optimize resources, retraining models on different data sets. Trying to run poorly put together python code. Adding missing requirements files. Cleaning up data. Wondering what could in fact really be useful to solve with ML that hasn't been done years…

Where do you locate/how do you select papers?

arXiv.org searches

Dedicated groups on social. e.g: https://www.linkedin.com/newsletters/top-ml-papers-of-the-we...

Re: Ask HN: Machine learning engineers, what do you do at work?

#232

Post by apwheele » Tue, Jun 11, 2024, 10:54 AM UTC

DontchaKnowit wrote: post #229

apwheele wrote: post #210

Earlier quoted context omitted.

The scale of health insurance claims is incredible, my company has a process that simply identifies when car insurance should pay the bill instead of medicaid/medicare post traffic accident (subrogation). Seems a minor thing right? We process right at 1 billion a year in related claims (and I don't know our US market share, maybe like 10-20%). I am guessing every datascientist that works for a BlueCross BlueShield at…

Man, respectfully, sounds like you are doing the dirty immoral work of insurabce companies. AI algos for adding diagnoses to rack up the bill? That is completely disgusting. Wholly unnacceptable and if I ever find out ive been the target of such a scam I will raise holy hell.

I am speaking more generally of the industry. You can look at my profile and follow the bread-trail to see whom I work for. It is not insurance, we are a client of state systems, and I work to do the opposite of what you suggest (identify fraud/waste/abuse in insurance claims).

I do not know the chances that any individual provider uses a system to identify what codes to tack onto your bill.

Re: Ask HN: Machine learning engineers, what do you do at work?

#233

Post by posix_monad » Tue, Jun 11, 2024, 3:51 PM UTC

soulbadguy wrote: post #228

posix_monad wrote: post #224

Earlier quoted context omitted.

I don't think the ML community has an appetite for learning a different language. There are Microsoft-backed F# bindings for Spark and Torch, but no one seems interested. And this is despite a pretty compelling proposition of lightweight syntax, strong typing, script-ability and great performance. The answer will probably be JavaScript. Everyone already knows the language - all that's missing is operator overloading…

> There are Microsoft-backed F# bindings for Spark and Torch > this is despite a pretty compelling proposition of lightweight syntax, strong typing, script-ability and great performance. For exactly the reasons your mentioned, i feel like F# would have been the perfect match for both MLE/ETL(spark pipeline) work and some of the deep learning/graph modelisation such as pytorch. Saddly, even from MSFT, the investment i…

Not sure what you mean here - Microsoft are actively working on F# and the .NET Spark and Torch bindings.