Recent content by pilotnoah

There are several ways to approach Machine Learning, so I wanted to compare experiences. I am particularly interested in future improvements and collaboration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Are there any settings...

I think smart and glasses is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That way you can improve the workflow without losing track of what caused the improvement.

I wanted to start a broader tool comparison thread around AI Scam & Fraud Detection. A useful angle is learning curve, but it also connects with beginner tips. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...