R or Python? Why use one when you can lever both? - Data Scientists are usually presented with the false choice of choosing either one of them. In this live coding I give a very simple example of how to integrate them in a single workflow #RStats#Python
https://t.co/gT34yOzVB2
#Plumaje | Los datos de la Encuesta Nacional de Victimización y Percepción sobre la Seguridad Pública muestran una clara relación entre la percepción de un mal desempeño institucional y la percepción de inseguridad.
🪶: Imad Peniche / @EthosInnovacion
https://t.co/7gRGsyXErL
How do researchers define interpretability and explainability?
An overview:
https://t.co/bNjKv8F44g
Summary: No consensus
My opinion: It's already the Wild West, no one will stick to any definition. Most pragmatic is to treat them interchangeably.
Why Data Science is not just Data Science
A thread.
Context:
I work for the Data Branch of a consulting firm. We develop what I like to call "End2End Data Assets".
1/n
Being able to get/access your data (data engineering) & seting up the tools needed to maintain & improve a solution on a timely basis (Cloud, Schedulers, DevOps) is as important (or more) than the model or analysis itself (traditional Data Science)
4/n
python3 -m venv .venv
Eso es todo lo que uno necesita. Nada de pyenv, ni poetry, ni virtualenv, ni conda, nada.
Después de tener que rastrear y eliminar múltiples pythons, múltiples veces, en múltiples compus, puedo asegurar que esa es la única forma de tener paz mental.
Unpopular opinion:
Data Science is not just Data Science.
Modern Data Tech Stack:
1. Data Engineering
2. Cloud
3. Data Science
4. MLOps
Did I missed something? Please comment below ⬇️
Data cleaning is tedious.
But it's much easier with the {janitor} package. Especially if you work with Excel files.
Here are 5 underrated features from {janitor}. #rstats
OpenAI CEO, Sam Altman, testified before Congress yesterday for 4 hours.
Don't have the time to watch it all?
We've collected the highlights that are already resonating with people 🧵
How it started:
f(X) = X
How it's going:
• is f AGI?
• f might be conscious
• f will conquer the world
• You can use premium f for $20 a month
• f is only 14 weeks old and here is what you can do.
• Here are 10 products of f(X)=X you haven't heard of
"have you tried the new python framework? it's super slick and well designed and pleasant to use"
"when was it released?"
"late 2022"
"so chatgpt doesn't know about it?"
"no"
"so chatgpt can't help me with it?"
"I guess not"
"yeah, I'll stick with the old terrible one"
A really cool #rstats package is {ggchicklet}.
Its geom_rrect() function let's you create rounded rectangles. That's how I've created this visualization.
Code: https://t.co/IAiCz4jch4
Package: https://t.co/59EEtHZsKz