🚨 Breaking News: Companies Discover New Cost-Cutting Strategy!
Imagine this: "Quick! Sell off 30% of our raw materials! We need to impress Wall Street!"
"But... won't we need that to make our products?"
"We'll buy it back later, dummy! It's all about this quarter's numbers!"
Sounds ridiculous, right? Yet this is EXACTLY how companies treat their "human resources" during challenging times.
"Model collapse" is like AI inbreeding, and it's about to make your data science nightmares come true.
AI generates content, that content floods the internet, and then new AI models train on that AI-generated crap. It's a feedback loop of digital incest, and the results are as ugly as you'd expect.
https://www.nytimes.com/interactive/2024/08/26/upshot/ai-synthetic-data.html
Struggling with missing data? Don't let it throw off your analysis! 📊🤔
Random gaps? No problem, easily manageable. 💪
Systematic gaps? Big trouble! ⚾️ Investigate the root cause before taking action. 🕵️♀️
Address it right, save your analysis from bias. 🚂
Remember, preventing missing data issues is key! 🩹
🗣 Share your experiences dealing with missing data!
