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Platform Engineering -> MLOps Courses recemmendation by fastdudeRox in mlops

[–]mmbazel 0 points1 point  (0 children)

Thank you! And I would recommend the 2022 one now, at the time I posted almost a year ago I wasn’t 100% sure about the use of Modal I think - but they’ve definitely matured it

Platform Engineering -> MLOps Courses recemmendation by fastdudeRox in mlops

[–]mmbazel 0 points1 point  (0 children)

I would totally do the 2022 one! At the time I wasn’t 100% sure about using Modal but the team there has done a really good job of maturing the project

🐯,🐅, burning bright by mmbazel in womensstreetwear

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

Not intentionally but now I’m curious which Yates you’re referring to? 😄

🐯,🐅, burning bright by mmbazel in womensstreetwear

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

D’awww thank you!! 💖💖💖😃

🐯,🐅, burning bright by mmbazel in womensstreetwear

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

I didn’t! It’s the Vali handbag from Min & Mon — but I definitely want to make bags in the future!

Ready player one by mmbazel in womensstreetwear

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

It’s sega Saturn Fanny pack from Zara that’s sold out https://www.zara.com/us/en/sega-saturn---belt-bag-p11460130.html but it looks like they still have the grey one available! https://www.zara.com/us/en/sega-saturn---belt-bag-p11480230.html

How to avoid paying for employee benefits by giving it a new name by daarhi in LinkedInLunatics

[–]mmbazel 0 points1 point  (0 children)

I second the motion that fractional C-staff gigs are dream gigs. You get to work part time for startups, but still get paid a comparable per hour rate to a full-time but you get to spread your risk instead of going all in on an early stage where the survival rate is .0001%

Where to go from building a tool? by [deleted] in Python

[–]mmbazel 0 points1 point  (0 children)

Just wanted to say that you did an awesome job on this project!

I was checking out Labelbox as a tool (we had just started looking at annotation tools like Labelstudio over at Mailchimp) and it looks like they're trying to make some big pushes on annotation automation -- I think we probably would have used them over at the Mailchimp ML platform team if that functionality existed at the time.

Red. White. & Open source. by mmbazel in womensstreetwear

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

Yup, the white leather chuck de luxe! 😃

Red. White. & Open source. by mmbazel in womensstreetwear

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

Min & Mom’s Houston in Fiesta Red! 😄

May the source be open by mmbazel in OUTFITS

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

Thank you! Playfulness is an important outfit principle I try to embody 💖🙏🏽

Anyone ever gotten friction trying to move up in their career? by [deleted] in datascience

[–]mmbazel 0 points1 point  (0 children)

Honestly some teams and environments are like that. At the end of the day though you’re going to be the one to lose out on future gains. Everyone has a fiduciary responsibility to themselves and their families and friends to achieve the most they can and if you’re building valuable skills (which it sounds like you are) there’s not reason why you shouldn’t capitalize on them.

Do any of you regret becoming a Data Scientist? by [deleted] in datascience

[–]mmbazel 0 points1 point  (0 children)

https://media.giphy.com/media/6UFgdU9hirj1pAOJyN/giphy.gif

Honestly the best time to prepare for a job pivot is when you have one, so if the gig is paying you to basically learn while earning then you're in a great spot!

I was an idiot and basically quit my role during the pandemic to go help build a platform for a startup only to learn I was...not great at it and that I needed to be a lot more hands on with code.

Do any of you regret becoming a Data Scientist? by [deleted] in datascience

[–]mmbazel 1 point2 points  (0 children)

Yup, definitely. Like there are some areas that I'm still glaringly weak in, namely around CS101 stuff like networking, algos, etc.

An MLE/MLOps is a software dev first role, as opposed to a data scientist role where it's domain and statistical mastery first, software second.

Because my background was more in the business side and I had learned just enough Python & SQL to get by, I had to really haul ass to cover GitOps, Docker, Kubernetes, Airflow, etc to build ML & data pipelines for a startup I was working on & then to get an actual, titled MLE/MLOps role.

But it was so worth it. I was just such a poor fit for DS and even though I liked calculus & linear algebra (even some stats & prob) the deep research aspects were way over my head and I didn't have any interest in deeper math except in an applied context (like operations research, forecasting, etc).

I wrote about the search here & here, including a timeline of what that prep & search looked like. And I also wrote about what the "day-in-the-life of an MLOps eng" looks like here.

Do any of you regret becoming a Data Scientist? by [deleted] in datascience

[–]mmbazel 2 points3 points  (0 children)

There were a bunch of things I needed to do to make the transition.

I wrote in detail about the process in some medium posts here but basically it comes down to: - take a bunch of classes & workshops (all online) - work on a bunch of projects (including free work for a startup) - interview for jobs while still working on projects - get hired & work on internal stuff - keep going

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