BrianCarter

data scientist, visualisations, all things big big data.

[Santosh Yadav @SantoshYadavDev]

Git Tip: do this and thank me later

Link to docs: https://t.co/8WmcpDPhdK

[BrianCarter @iboboburo]

Week six testing #mlopszoomcamp homework complete. Hard to get head around all the components.

[Zach Mueller @TheZachMueller]

New article on #python decorators is out! Specifically this shows you how decorators are written, what they do, and the power you can do with them. I even show an example of when you'd use the strange "nonlocal" 1/3
https://t.co/F1K1Gn4b0S

[Eugene Yan @eugeneyan]

I'm learning how to write better Python libraries. What packages do you recommend I emulate?

sklearn, pytorch, fastai come to mind—anything else?

[BrianCarter @iboboburo]

4th week #mlopszoomcamp homework complete. Slightly rushed with work, pride ahhhh

[BrianCarter @iboboburo]

Third week #mlopszoomcamp homework complete. Working with @prefectio - and thinking about how to integrate with @MLflow

[Bas Steins @bascodes]

🐍💡 You need to understand Python well before you can write idiomatic code in it.

But what does that even mean?

Here are some examples 👇

[Bas Steins @bascodes]

Python 3.10 brought a new language feature:

match/case

Here are a few use cases for this new feature.

🧵👇

[Mouna Belaid ➖ @[email protected] @mounaa_belaid]

I was happy to make a contribution of a new #cheatsheet in support of @RStudio ✨

The below cheatsheet covers the use of #Git and #GitHub in #RStudio.
Many high quality cheatsheets on #R topics have been generously contributed by R users and are available below (1/3)🔗

#rstats

[Radek Osmulski @radekosmulski]

nvt op Tuesday! ✨

How do you deal with variables that have a lot of categories?

Before we look at solutions unique to RecSys, let's analyze how this is handled by large language models.

[Sayak Paul @RisingSayak]

New project 📢

We show how to deploy a deep learning model with Docker + Kubernetes + GitHub Actions. We show this with two promising candidates - FastAPI (for REST) and TF Serving (for gRPC).

1/

[BrianCarter @iboboburo]

Second home for #mlopszoomcamp complete. Lot of functionality in the MLFlow API...

[BrianCarter @iboboburo]

Just completed first #mlopszoomcamp homework. Fun to work in a notebook without a care in a the world - lol

[Christophe Pasquier @Christophepas]

if you're curious -> https://t.co/U0kg97BhIM

[BrianCarter @iboboburo]

@talktoBOI Still no update - have you timeline on this ?

[BrianCarter @iboboburo]

@talktoBOI hi I submitted a online credit card application - have uploaded docs - but haven't heard any feedback

[Sylvain Gugger @GuggerSylvain]

So excited to share what I've been working on this past month.
Not enough RAM to load the model? No problem.
Not enough GPU RAM to host the model? No problem.
As long as it fits on your hard drive, we'll make it run.

[Kirk Borne @KirkDBorne]

[Free PDF download of 710-page book] Introduction to #Probability for Data Science: https://t.co/L51j3udY5j
(Use "self-study" as your course information)
—————
#StatisticalLiteracy #Mathematics #AI #BigData #MachineLearning #DataScience #DataScientists #DataLiteracy #Statistics

[Shreya Shankar @sh_reya]

I probably should have written this years ago, but here are some MLOps principles I think every ML platform (codebase, data management platform) should have: 1/n

[Patrick Mineault @patrickmineault]

It takes two minutes to integrate torch.nn.Transformer into a model. So why did I spend my Friday evening coding a visual transformer (ViT) from scratch? Sometimes you have to go slow to go fast 🧵1/