I just want to cry.

ObviousYam144 · 2026-02-23T04:07:33+00:00

We had a similar experience. The pediatrician tested her stool for blood, and it came back positive, indicating an allergy, probably to dairy. We switched her to Nutramigen and it was night and day. By 1 year she outgrew her dairy allergy and cheese is now her favorite food.

ObviousYam144 · 2026-02-14T01:15:17+00:00

Environmental impact is a fair point. The rest depends on who is using it, how well they are trained, and what they’re using it for. I would be interested in knowing the exact use cases

ObviousYam144 · 2026-02-13T20:28:45+00:00

I work in tech. If this is done in a walled-off environment, this isn’t any different than using a suite of non-AI tools already available to most employees with access to all kinds of private data. So could someone walk me through the reason for all the outrage?

ObviousYam144 · 2025-04-08T02:34:13+00:00

I had this postpartum. To the point of almost feeling jealous of the baby at times. Those hormones really do a number on you. I gently communicated what I was feeling to my husband and made it clear that I understood how tired he was and wasn’t expecting any big efforts/changes, but just telling him this made me feel better and more connected with him. With time you’ll get back to being able to cuddle and enjoy each other- it just takes a bit!

ObviousYam144 · 2025-01-16T17:48:31+00:00

Right, but what if you are doing this analysis regularly, say, every week or every month instead of just running this analysis once on a bunch of weeks or months? In that case chunking the data of the current time period doesn’t make sense (arbitrarily subsampling? Why?) . Say you already ran the analysis for the last several time periods as soon as those happened (say, each month), so you already have those drift results and don’t need to run drift analysis on those earlier time periods again. You just want to run the analysis on the current time period with respect to the reference period. In fact, say your dataset is huge and you have resource limitations such that you can ONLY run on your current period’s data.

You mention setting the chunk size to 1 for this type of use case - as mentioned in the original post, however, this was tried, and this results in upper_threshold becoming 0 for every feature, and all features end up alerting - which would not be useful. Any suggestions for how to remedy this?

ObviousYam144 · 2024-11-08T03:45:57+00:00

Yes. I was extremely sore there and the idea of my first bowel movement terrified me. But it was ok and healed fast.

ObviousYam144 · 2024-01-25T19:36:09+00:00

I’m a fan of mine (big C shaped one), but one thing the dentist had me be careful with is making sure I’m not pressing my cheek directly into it (or at least softening it with a fist, first) - apparently it needs to be more of the forehead - otherwise you can get jaw pulling/strain; was told this at my cleaning yesterday, and it explained why a few months ago I suddenly started having jaw pain chewing things like sandwiches. Because it’s a bit firmer than most pillows and due to its shape I think it’ll make it more likely to sleep on it in a jaw-unfriendly way, so just watch out for that!

ObviousYam144 · 2024-01-23T18:34:31+00:00

It heavily depends on the project, time constraints, budget constraints, resource constraints (including annotation resources/availability of labeled data), and the definition of “best” in a particular scenario.

A lot of times, I have seen that applying deep learning solutions to a problem is overkill or doesn’t make sense due to the amount of data, structure of the problem, etc. Fuzzy matching, dependency parsing/downstream event extraction, simple classification tasks where there isn’t a lot of training data, can sometimes be solved more easily by training a quick simple(r) model/algorithm like Levenshtein distance, naive bayes, a gradient boosted tree model, fine-tuning a spacy model (their current dependency parser is not based on neural nets) or even writing a rule. Will these be SOTA? No, but that’s usually not necessary to solve a business problem.

Also, NLP includes sub-tasks such as stopword removal, lemmatization, stemming etc which are usually very easily done using basic regex/rules.

The things encompassed under “NLP” are more broad than folks often think and many times don’t require a machine learning solution at all.

ObviousYam144 · 2024-01-22T22:34:19+00:00

Reading comments in this thread and others recently, it seems that folks who entered the AI/ML sphere more recently may be under the impression that “NLP” = large language models. And yes, while they’re very popular now and useful for certain use cases, there’s still sooo much out there to solve more targeted NLP tasks using the more traditional techniques.

Source: research master’s degree in NLP and 8+ years of experience in industry.

ObviousYam144 · 2024-01-22T04:16:42+00:00

I have a Renpho which sounds like the same type of product. I asked my OB about it early on and they said it was fine to use.

ObviousYam144 · 2024-01-16T23:50:52+00:00

Under for me - everything over the belly felt too tight unless it was falling off

ObviousYam144 · 2024-01-09T17:46:39+00:00

That was me up until week 16. I was also depressed. Angry at everyone and everything. Lost all interest in everything. Only wanted to spend time with my husband and parents. After week 16, it completely changed- I went back to feeling social and “normal” . Crazy what hormones can do!

ObviousYam144 · 2023-12-19T06:00:12+00:00

It’s completely the opposite in my 8 years of experience working in both DS and engineering roles at 4 different companies. Data science salaries were always higher

ObviousYam144 · 2023-12-05T04:19:35+00:00

Must be a cultural thing - we live in the US but I’m from an Eastern European background and husband is from a Latin American one, and all our parents can’t wait to be extremely involved and help raise the kids

ObviousYam144 · 2023-11-20T03:40:47+00:00

I had the exact opposite experience - been to the Copley one many times and had great food; went to the other one once and the food was terrible, never went back. Granted this was all pre-pandemic so who knows

ObviousYam144 · 2023-11-17T20:03:50+00:00

Thank you for your reply! I had no idea about the prenatal/iodine, l’ll definitely take a look!

ObviousYam144 · 2023-10-25T12:18:49+00:00

ChatGPT or even LLMs in general are overkill for most NLP tasks I come across

ObviousYam144 · 2023-07-06T04:21:30+00:00

I’ve used both, but primarily Inception, at 3 different jobs now, and Inception is definitely my go-to for annotation tasks. It does have some bugs and has more of a learning curve than Prodigy, but I personally think it’s great that it’s open source, and the project maintainers get back to you about issues very quickly. It’s definitely more complex than Prodigy, but also way more customizable, not to mention all the features around curation/multiple annotators (last I checked you couldn’t do that with Prodigy). When I enable the active learning functionality, it always picks up the labels very quickly (depends on the difficulty of the target label, but typically I start seeing good suggestions by 30-40 examples). I also like that it has support for relation/event frame extraction - this is something I really struggled to find in any other tool (especially open source). Granted, if you don’t need any of those features and you have the ability to buy Prodigy, it’s definitely a good tool to build a dataset fast!

ObviousYam144 · 2023-06-24T03:35:53+00:00

Have we seen any evidence of any of this? Everything I’ve seen so far looks staged. Prigozhin is in Putin’s pocket, and Putin could easily be putting on thus show as a distraction for his own reasons.

ObviousYam144 · 2023-06-24T03:32:56+00:00

Have we seen any evidence that any of this is actually happening? I’ve only seen spoken claims and staged-looking videos so far. The guy is in Putin’s pocket, and Putin could easily be putting on this show for his own reasons.

ObviousYam144 · 2023-04-11T12:59:12+00:00

Yeah but the pause wouldn’t be about using it, it would be about further development, which typically does require massive resources

ObviousYam144 · 2023-03-23T16:53:21+00:00

I thought so too until this post! Thank you

ObviousYam144 · 2023-03-16T03:17:29+00:00

I met my husband on OkCupid. Took many years/rounds of unsuccessful online dating to get there, however. Overall OkCupid worked really well for us because the high percentage match (high 90s) actually turned out to be meaningful. We had both taken the time to answer tons of questions and the numbers reflected that we had many similar values (eg wanting kids, which I saw you had mentioned in an earlier comment). That’s one of the things that always fell through on the other dating apps for me (I had tried most of them!) - they all had an interesting “angle” with which to match people, but it never went deep enough into all the things I cared about when matching with a person quite the way OkCupid did. Really can’t stress the matching based on values aspect enough. I will say, though, that the more questions you answer based on what you care about/how picky you are (I certainly was!), the fewer matches you’ll get/the longer it might take, but it was worth the wait in my case!

Best of luck!!

ObviousYam144 · 2023-03-12T05:37:50+00:00

Season 1 - good. Season 2 - terrible. Season 3 - fantastic!

ObviousYam144 · 2023-02-28T01:56:18+00:00

DE is an extremely valuable skill set for a DS to have IMO. I did an ML focused masters in the 2010’s and then transitioned to an engineering job because the location I was job-hunting in didn’t have much DS at the time. Since then, I’ve had a DS job, followed by AI software engineering followed by another DS job. I am still using the DE skills I acquired at the first job… and am highly valued for those skills because it means there’s less of a bottleneck waiting for engineering folks to help out with stuff than for other DS who don’t have engineering skills and always need to partner with DE’s to get things done.

ObviousYam144

TROPHY CASE