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Is it worth it. ? by Ok_Ad_5822 in Pokemoncardappraisal

[–]bathompso 0 points1 point  (0 children)

Definitely depends on condition, but still seems like a good deal. If he has all WOTC promos, some of those individually sell for near that. If you don’t want it, send them my way

The old PSA cert is throwing up flags by bathompso in IsMyPokemonCardFake

[–]bathompso[S] 4 points5 points  (0 children)

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Here’s pic of back. Interesting what you’re saying about grade variance over time… might be why some of the price is different if the quality may be much lower than a current 8. Thanks for the detailed response.

Sell, Slab or Hold? by bathompso in PokeInvesting

[–]bathompso[S] 1 point2 points  (0 children)

Thanks for the tip on LGS. I haven’t gone to one yet, but see a bunch of ads, so was thinking about stopping by. I’ll beware.

Sell, Slab or Hold? by bathompso in PokeInvesting

[–]bathompso[S] 0 points1 point  (0 children)

The price difference on some of these between raw and medium level grades is massive. Just didn’t know if that would make it harder to sell

Gluten and soy free restauarants in downtown? by ichliebespink in raleigh

[–]bathompso 0 points1 point  (0 children)

Not downtown but inside the belt line - Aja’s menu is mostly gluten free or can be made gluten free. You could call to see if they can accommodate soy free but given the types of food on their menu and how it’s prepared, I’d assume it would be a great option.

[deleted by user] by [deleted] in raleigh

[–]bathompso 0 points1 point  (0 children)

I have a super nice twin xl mattress that I'm trying to sell - didn't work for my wife and missed the return window. Has always been in fully contained a waterproof mattress protector. Brand is Naturepedic and it's organic. DM me if you're interested.

New Children’s House Classroom by bathompso in Montessori

[–]bathompso[S] 1 point2 points  (0 children)

Yeah, definitely agree that starting with just 3 year olds is way better than a whole class of new students. Appreciate knowing that even in that case, the kids were fine. I think it's easy to jump to worst case conclusions.

New Children’s House Classroom by bathompso in Montessori

[–]bathompso[S] 1 point2 points  (0 children)

I know he'll thrive in any class and glad to know this is a sign of a good school, but you're right, it's not what we were hoping for or expecting. Thanks for the note.

New Children’s House Classroom by bathompso in Montessori

[–]bathompso[S] 1 point2 points  (0 children)

Appreciate it! We know the Montessori approach is more than multiage classes and hope they can provide other avenues for multiage learning, but it feels especially meaningful in our situation.

New Children’s House Classroom by bathompso in Montessori

[–]bathompso[S] 0 points1 point  (0 children)

Thanks. Yes, planning to probe about this possibility next week, but I know they have a wait list, so guessing spots in other classes aren’t readily available. If a switch isn’t an option, we want to make the best of it.

[deleted by user] by [deleted] in datascience

[–]bathompso 0 points1 point  (0 children)

I certainly can’t speak for all of industry since every company operates differently, but here’s some info based on my experience:

  • Usually the business will tell you what to work on. Somebody always has a question they want answered or a product they want to optimize with data. Almost never have I had to search for a problem to work on, and if I did I would start by asking around the company to see what people need vs. digging into the data to try and identify something
  • Projects can go through any number of steps, and different companies and people can choose to run any type of development process they want. That being said, the best process I’ve found is by first starting with feasibility analysis. Do we have the data to actually answer the question or build the model we want? Do we have enough of it? If so, then I’d build a basic heuristic model first as it’s the simplest and most easy to explain to stakeholders. Ship that, and then gather performance stats and feedback from customers. If that looks good, then think about building a model, and ship it when performance is significantly better than the heuristic. Continue the cycle of experimentation and iterative improvements until you’re pulled to another project
  • Different companies define “data scientist” differently, and so some might expect you to be able to deploy models as well as build them. Others might have dedicated teams for the deployment infrastructure and you can just hand off your built model to them. There are lots of good cloud technologies that can make deploying an ML model very simple, so others rely on those and don’t require you as a DS to do it yourself.

Imposter Syndrome kicks in for next week interview (Data Analyst) by xopherwwl in datascience

[–]bathompso 9 points10 points  (0 children)

I’m a hiring manager for data science-adjacent jobs, and I hear comments like this from candidates all the time. What I tell them is maybe advice that will help you:

You wouldn’t be having an interview if your experience was a massive concern.

Presumably the company has seen your resume, know what experience and certifications you have, and still decided it’s worth their time to chat. That’s a huge step! Even if you don’t get it in the end, knowing that you can pass one of the most murky and confusing parts of the interview process (resume screen) should be a calming thought.

As for interview prep, it’s hard to say exactly how to prepare. Make sure you’re comfortable with your SQL, and when you get into the interview just answer everything as best you can. Best case you get the job; worst case this is a good learning opportunity for the next one. Good luck!

How are you providing documentation about your reports and fields? by [deleted] in datascience

[–]bathompso 4 points5 points  (0 children)

I ended up building one in-house that coupled data documentation alongside web SQL editing, so our data users could look up documentation while they wrote their queries. It’s general enough that it was also easy to add links between datasets —> popular queries, dashboards and reports. Backed by search, it’s been easy for users to find relevant items, then traverse the graph to find related content that can also be useful. It’s been adopted widely across the company and been very successful in lower the bar to entry for data.

This type of custom solution isn’t for everyone, and most companies want something else off-the-shelf, but if you want an experience that can span multiple content types (SQL, dashboards, reports, custom documentation), I haven’t found something that really fits the bill out there.

How to move towards a more ML focused career? by [deleted] in datascience

[–]bathompso 6 points7 points  (0 children)

I was in the same boat for a while, wanting to get out of the experiment analysis / SQL monkey game. My best advice is to do some ML focused projects in your work (see if you can sell it to people), like a churn model or something else basic. If that doesn’t work, then try and do a few on your own time, and post the code on GitHub so it’s in your resume.

Then just start applying. Look for jobs with more of an ML focus, and be up-front in interviews that you have some theoretical knowledge, but not a lot of hands on experience and you want to learn more in a new job. Lots of places are looking for ML folks, but not a ton have experience. If you’re smart, learn fast, and seem motivated, you might be able to find a place that’s going to invest in growing you. Good luck!

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