For those of you wondering about the "awesome list" phenomenon (as I was). It is a git repository that is marked as being a curated list of awesome things. Here is a manifesto:

https://github.com/sindresorhus/awesome/blob/master/awesome....

Edit: Don't know if any other infrastructure has sprung up around it. Maybe an awesome list of awesome tools?

Awesome lists are the new yahoo.

Not sure it's a bad thing. Yahoo worked when the internet was smaller. For fields with reasonable amount of information the model is better than just searching for stuff.

Yeah, 'curation' seems to be a larger trend anyway.

Now we need to build search around it. Put all the machine learning Uris in a vertical search engine so you can ask it questions.

And extend to other fields. "Awesome Politicians". "Awesome car dealers in SF".

You're joking? The idea is to take a topic with a lot of specific knowledge and build vertical search around it so you can go deeper on that topic. There exists an Awesome Swift, for example, with a lot of static data.

https://github.com/matteocrippa/awesome-swift

I'd like to build a search engine with all Swift urls and allow the user to make queries.

http://www.h4labs.com/dev/ios/swift.html

break out books, for instance.

http://www.h4labs.com/dev/ios/books

When I get a few minutes, I'll add links to the source code for the books.

Show me SpriteKit articles within the past 30 days:

http://www.h4labs.com/dev/ios/swift.html?age=30&q=spritekit

Is there a collection of general machine learning resources (blogs, books, people to follow on twitter etc.) for someone wanting to get started?

This is a pretty good start

http://hackershelf.com/topic/machine-learning/

http://culll.com/news/

You are awesome, thank you