Machine Learning Lessons Learned - The Hard Way

Machine Learning Lessons Learned - The Hard Way

Reflections on my early machine learning experiments - the mistakes, challenges, and important lessons about bias, ethics, and responsible AI development that every beginner should know.

By Ehsan Pourhadi
Machine Learning Ethics

Here’s a short, casual rewrite of your AI update post, keeping your playful, self-taught tone and adding a quick note about ethical use:


🤖 AI Update: More Data, More Categories

I’ve trained my AI with a bit more data and added some new categories! Now it can give a little more info:

  • Hot
  • Ugly
  • Fat
  • Asian
  • Badgirl

Let’s try some new pics! 🙂


Julianna Margulies Julianna Margulies Hot: 0.29 | Ugly: 0.26 | Asian: 0.19 | Fat: 0.18 | Badgirl: 0.07

Cardi B Cardi B Hot: 0.63 | Fat: 0.17 | Ugly: 0.12 | Badgirl: 0.07 | Asian: 0.003

I-Hua I-Hua Hot: 0.85 | Asian: 0.13 | Badgirl: 0.003 | Fat: 0.003 | Ugly: 0.001

Nicki Minaj Nicki Minaj Hot: 0.98 | Fat: 0.007 | Ugly: 0.002 | Badgirl: 0.002 | Asian: 0.0003


⚠️ Quick note on ethics: This AI is just a silly experiment. Please remember that using AI to judge people’s appearance can be harmful or offensive — it’s fun to play with data, but always respect others and use AI responsibly! ❤️

Tags: #AI Ethics #ML #Learning #Responsible AI #Bias #Data Science