[bonoboTP]

While this page looks nice, there is certainly a proliferation of beginner articles in this area. I think it's driven by demand, the same way gyms get tons of new members in January. As someone who sees all the hype and salaries involving ML, you dream of doing it too, so you look for articles to start out. That's the demand. After reading it, you don't get it and have no patience so you raise demand for titles like "ML for humans" or ML made easy or "Gentle intro to ML for the rest of us". Or ditch articles and watch Siraj ramble about making money with an AI startup today! I'd wager that only a small percentage of readers actually works their way through to advanced topics.

On the supply side (while TFA looks legit) people who are a few lessons ahead want to increase their visibility, start a blog/brand, make their CV stand out by showing community engagement and writing from a position of authority. This is mostly seen on Medium.

How to avoid the trap of being an eternal beginner? Accept that it will take time, be clear on your goals, try gathering a group of peers and expert guidance. Reddit and forums can be crap for this as you the beginner will gravitate towards the self proclaimed experts who may be full of shit and just play social games well, creating a blind leading the blind situation and cargo culting around terms that nobody really understands. There is a value in universities: they lay out a path, give guidance and let you work/learn together with peers. Ok, enough with this rant.