The machine learning coursera course listed on the page covers bias/variance and validation.

Yeah, I did see that, and that is a great course. I get the impression (based on the lack of a description) that they see it as equal importance to all the other many, many courses they tell you to do.

Put that first, and it would be a big improvement. Would be better if it wasn't in Octave though!

I think https://gingkoapp.com might fit in that niche.

Criminal - monthly podcast focusing on crime stories http://thisiscriminal.com/

Here's the Thing with Alec Baldwin - interviews

Just curious, is the basis client/server available going to be made available? Thanks for the post.

In the short term, no. I’d like to think that the (somewhat unplanned) overhead of developing Basis will be paid off in future as a commercial advantage for my apps — I guess we’ll see whether that pans out ;)

In the longer term, yes absolutely I’d like to make it open source. In the meantime, I’m happy to share some of the lessons I’ve learnt along the way.

I don't think that a language that is too complex for "mass developers" is necessarily a good test for finding better developers. That assumes that better developers flock to more complex languages.

You're right of course. It is a really really terrible movie!

This looks interesting. It reminds me of book that explained the details behind dealing with unix processes using ruby. I really liked it: http://www.jstorimer.com/products/working-with-unix-processe...

The philosophy behind this looks similar to a library created by a co-worker of mine that we use extensively internally:

https://github.com/bruth/restlib2

I feel like the sentiment portrayed in these posters could apply to almost anyone in any profession that happens to be feeling a little undervalued. This is not unique to design. More importantly, there is very little in useful advice. Disappointing this made it to the front page.

Has anyone looked at Pyke (http://pyke.sourceforge.net/)? It seems to combine some of the ideas from Prolog with the ability to use Python when necessary. We tried it and found it to work as advertised but the documentation was hard to navigate.