Puro Código
@purocodigo
Our team of software developers build tools and models for data analysis and machine learning; our products feeds our customers' webapps and mobile apps.
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Reading research papers takes time — a lot of time. Google Bard can summarize research papers for you in seconds. And you can ask Bard questions about them too. Best part: Bard is totally free. Here's how to use Bard to supercharge your academic reading:
The following queries may give different results; do you know why? #SQL #SQLServer Reply with your answer!
#Python Pop Quiz 🐍❓ What does this code print out in Python 3.9+? A) SyntaxError B) bark bark! None C) bark bark! D) None of the above
Download 698-page PDF >> Everything You Always Wanted To Know About Mathematics* (*But didn’t even know to ask) A Guided Journey Into the World of Abstract Mathematics and the Writing of Proofs math.cmu.edu/~jmackey/151_1…
"In classification tasks machine learning models output estimated probabilities or also called confidences. These tell us how certain a model is in its label predictions." Read more from @maja_pavlo's post. buff.ly/3JZ3GyP
¿Hasta donde nos llevarán los nuevos emprendimientos en Inteligencia Artificial? Muy lejos, son oportunidades, aquí una cuántas para aprender más.
ChatGPT is just starting in 2023. Newly released plugins will unlock countless new ChatGPT features. Here's 9 incredible use-cases for brand-new ChatGPT plugins:
Let's clean the cage 🐦
We’re purging accounts that have had no activity at all for several years, so you will probably see follower count drop
👋Are you interested in #dataviz? ⭐️I created 8 free online projects on the topic!😀 Please let me introduce them: 🧵..
Web3 devs turning into AI devs
Day 124 : Printing coloured output in Python youtu.be/9fyaR5sXGq8
Tell me you are a Python programmer without telling me you are a Python programmer... 🤔🐍
I'm 25 and I am switching my career... It still sounds super scary, but I am doing it, I am learning how to code 👩🏻💻 I found this podcast super motivating and inspiring: open.spotify.com/episode/0q21Y7… Thanks @bookercodes and Nadia for this podcast 🧵
Nobody can explain web3 because the point of web3 is all bullshit post-hoc myth making to obscure the simple fact that some unscrupulous VCs want an instantly liquid security, that can be manipulated, and which they can dump on retail investors. That's it ... that's web3.
Learn the basics of adversarial machine learning by building it from scratch: Peter Bryan shows us the way. buff.ly/3pQTAXn
Can't stop laughing. This is genius. 😂
We’re purging accounts that have had no activity at all for several years, so you will probably see follower count drop
Science!
Fun with teleconnections, Rossby waves, great circles, and map projections ... Following on from the idealized atmospheric response to El Nino (or, with sign reversed, La Nina), from Branstator (1985), shown below, and a comment from @cristiproist 1/8
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