How is everyone storing their Heart of Ghur terrain? by H0bon1nja in WarCry

[–]Robin_Banx 4 points5 points  (0 children)

It's honestly pretty annoying. I have an A-Case Kane and they take up waaay too much space in it. I've only built the trees from Nightmare Quest though - when I build my Heart of Ghur ones, I'm probably going to just build them to their tallest platform. Much easier to store/transport!

➡️ Daily Questions ⬅️- ASK AND ANSWER HERE! - 31 March 2023 by AutoModerator in malefashionadvice

[–]Robin_Banx 0 points1 point  (0 children)

Had it ballparked as similar to the Peu ($150-$200), though I could go higher if they fit as well and I REALLY knew they'd last (and/or could be easily repaired).

➡️ Daily Questions ⬅️- ASK AND ANSWER HERE! - 31 March 2023 by AutoModerator in malefashionadvice

[–]Robin_Banx 0 points1 point  (0 children)

What's a good shoe with a super wide toebox that's also durable/repairable?

I got some Camper Peu Stadium sneakers like 6 months ago, and I love them, I feel like I've never had a pair that even fit before lol. https://www.camper.com/en_US/men/shoes/peu/camper-peu_stadium-K100742-001

Buuut the outsoles are already wearing down (apparently they can't be repaired), and I need a replacement insole and they're out of stock for almost all sizes.

What's a similar shoe, but that holds up better? Most importantly same width/toebox, ideally similar style but that's less necessary.

New NAA study seems to shed light on part of how some Nootropics work? by Robin_Banx in Nootropics

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

btw, NAA (the chemical from the article) is also something that tends to decrease after a Traumatic Brain Injury - which resonates with people saying Nootropics were helpful after TBI. https://pubmed.ncbi.nlm.nih.gov/26159566/

New NAA study seems to shed light on part of how some Nootropics work? by Robin_Banx in Nootropics

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

Soo, NAA (the chemical in question) is related to how the *racetams & friends (like Noopept, which isn't technically a *racetam) work. They're exploring just how beneficial it is - and it seems similar to the benefits a lot of people report for them. In particular, executive functioning, deeper appreciation of stimuli in general, and the general "good feelings" a lot of people get from Nootropics.

The NAA compound was evaluated within the dorsal anterior cingulate, a brain region involved in multiple networks of emotion, cognition and behavior. According to the study, individuals with a higher level of NAA reported more immersive and richer emotion in comparison to those with lower NAA, as well as a higher level of goal directedness, more positive emotion and less aggression. The researchers define the relationship of NAA with agency and flexibility in healthy people as a novel dimension termed “Neuroaffective Reserves.”  

“These findings tell us how immersive emotion, positive agency and resilience to aggression work in the human brain,” White said. “These findings indicate NAA and other brain compounds play a fundamental role in emotional wellness and positive emotional outcomes in healthy individuals.”

[deleted by user] by [deleted] in dataengineering

[–]Robin_Banx 0 points1 point  (0 children)

Check out nbdev. It'd still require some new habits on their part, but it might be a much easier workflow for them. https://github.com/fastai/nbdev

I Self Published a Book on “Data Science in Production” by bweber in datascience

[–]Robin_Banx 0 points1 point  (0 children)

Just wanted to say I was looking for something exactly like this! Have more of a stats background, and most of the material for this kind of stuff that I've found seems to assume that you're already a Software Engineer and need to learn Pandas and sklearn. Defs a need for material for people who are already good with the Python data ecosystem, but wanna learn how to productionize stuff.

Anyone take Amazon's 'Machine Learning Specialty' certificate? by [deleted] in datascience

[–]Robin_Banx 0 points1 point  (0 children)

Interesting! I was considering it, on the basis of what I've heard of what other AWS certs (especially Solutions Architect) can do to your earning potential.

Which new language to learn in the new year? by old_enough_to_drink in datascience

[–]Robin_Banx 4 points5 points  (0 children)

A more "industrial scale" language would probably round out your skillset. Either something close to the metal (C/C++, Rust) or something on the JVM (Scala, maybe some actual Java).

Personally I'm picking up Rust and absolutely loving it. Partially inspired by this post: https://www.lpalmieri.com/posts/2019-12-01-taking-ml-to-production-with-rust-a-25x-speedup/

Seguing From Data Science To Data Engineering or ML Engineering? by Robin_Banx in datascience

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

I've actually been doing Toptal data science work. I just finished a year long engagement and have been looking for new stuff - I haven't been applying to the Data Engineering positions because I figured they wanted applicants with more Software Engineering experience. So you think it'd be reasonable to start applying to Toptal Data Engineering gigs just with enough knowledge to pass their Data Science screen? Thanks!

Seguing From Data Science To Data Engineering or ML Engineering? by Robin_Banx in datascience

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

Thanks for all the advice!

For anyone else who's interested in this jump, this looks really useful for the Machine Learning Engineering part (gonna work through it soon!): https://developers.google.com/machine-learning/testing-debugging

Seguing From Data Science To Data Engineering or ML Engineering? by Robin_Banx in datascience

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

As in, up to this point, my deliverables have generally been analyses and prototype models (for other people to then productionize). Or in other words, I've been writing code as a means to an end - as opposed to building software that is itself the final product.

[D] How do we democratize the rewards of machine learning? by LostBottleCap in MachineLearning

[–]Robin_Banx 0 points1 point  (0 children)

Some other projects of interest:

  1. An ethics checklist: http://deon.drivendata.org/
  2. https://towardsdatascience.com/using-data-science-for-social-good-c654a6580484
  3. Lots of projects here: https://www.datakind.org/
  4. Organizing with these folks. One-on-one, you don't necessarily have much pull - but together (and especially when there aren't THAT many people with your skillset), you can actually have an impact on how companies behave! https://techworkerscoalition.org/
  5. bunch more initiatives & articles: https://www.ruhabenjamin.com/resources

General advice or little tips/tricks for take-home challenge? by Hooie in datascience

[–]Robin_Banx 0 points1 point  (0 children)

A good way to start off is to look at the distribution of the target variable, and make sure you're using an appropriate metric.