I am tired of seeing the same thing over and over. If I see another "Introduction to Deep Learning" i'm gonna snap.
The only blog posts I see that are pretty advanced are from the Haskell community.
Or should I just stick to books and research papers?
As someone who writes this stuff, the money so far has been in expository content for beginners. You could call that writing for the lowest common denominator, but I don't think of it that way. Frequently, I am able to develop an interesting project or idea over the course of an article, but to make the content accessible to readers of all backgrounds the first bit of the article does have to provide the absolute basics. I hope this perspective helps.<p>There are a couple places that I recommend (disclaimer: I have written for these sites) that publish work targeting intermediate/advanced readers in addition to more introductory tutorials. Floydhub's blog for AI/ML and Smashing Magazine for frontend/web dev are good resources.
I too have been seeing this problem lately. I am hoping for a aggregator on this front. SOmebody who aggregates all tutorials and then rates them by (perceived) audience. I would gladly pay them. Happy to build something like this but do not know how to do the rating part!