jgrimm

Learning From Data (https://amlbook.com) is a great introduction to ML from a more theoretical perspective. The language is easy to understand but the concepts that it deals with are very theoretical, a combination that is hard to find elsewhere.

For example nearly everyone understands how to apply multivariable logistic regression, in say Numpy, however a good grasp of underlying concepts such as confidence bounds for overfitting and and being able to use formal proofs to explain concepts such as VC Generalisation will both help you stand out and provide a good foundation that makes further learning much easier.

I would assume that detonating a nuclear bomb in a desert would cause fewer debris than detonating one in a built up and dense area

Too "on the nose" indeed ;)

Just tried this at university and interestingly all fig functionality is blocked when using the university's wifi, probably due to the proxies they have in place, while hot-spotting from my phone over 4g seems to work fine.

edit: after switching back to university wifi fig also worked fine, so it may be an issue with the wifi or there may be a need to refresh the network connection when trying to set everything up

> I never understood the hype around it. > It’s C with GC and good concurrency. Surely you've just answered your own question there

I mean at the right level of abstraction - yes...?

No problem, my friend who studies law has just started it and is finding it super interesting.

After reading through the linked thread I'm taken aback by the sheer number of deaths that don't seem to get any kind of coverage in the national press (and that's only for people accidentally shot as the police were trying to kill their pet).

Considering the sheer number of killings, this can and really should be reported in much a similar way to a protracted war, as it does look very much to be an extended attack upon civilians by an armed forces of sorts.