For dragon enthusiasts
Can I get a spy flick where the CIA/NSF/whoever isn’t the bad guy?
There’s no question anymore. You know who’s the bad guy all the time. The last movie I can recall that broke this trope was Patriot Games, which was followed by Clear and Present Danger where–guess who!–someone in the CIA is the bad guy again.
For a genre which prides itself on twists, there sure aren’t any.
I want to go to a snowy city on the beach and watch snow fall on the ocean. I will drink something warm and listen to the silence.
Z transforms are weird.
I still have no tacos.
An awful lot of law is based on the notion that someone would rather not get hit by a car than get hit by a car when it’s someone else’s fault.
If you want to win the lottery, you have to play.
The lottery specifically is unwise. But to win, you have to play.
I was listening to Alanis Morissette’s Jagged Little Pill, thinking, ‘This is why dude broke up with you.’
The happy songs are full of red flags and the bad ones, oh puppy.
I should make one. Easy money, right?
Social media seems to reward reaction more than anything else. I wonder if that’s common across all human interactions and I just don’t notice it, or it’s a social media phenomenom.
You want your features to induce four things: information, linear independence, resilience, and speed.
Example: you want to figure out who someone is.
Obviously, your features should have enough information that the model can accurately answer a question. A good feature is a name.
You don’t want redundant features. The first character of the name is highly linearly dependent with the name. Not perfectly, as you could get noise on the line, a misclick, or something similar, but very, very dependent. The first character of the name would be less useful if the name is another feature.
You don’t want a system so light that noise in any one feature throws the model off. So you don’t only want the name as a feature because people change their names, use nicknames, and so forth. If all you’ve got is the name, and Thomas is going by Tom, you’ve got a problem. A problem that the first letter of the name as a name might solve.
Computers don’t know the connection between Thomas and Tom, much less Elizabeth and Liz. So you’ve got to make judgement calls. But a balance of the three aspects such that the programmer maximizes the norm is a good direction to start.
Of course, you also want your model to work on finite hardware, so speed maximization is a factor. Maximize norm(I, LI, R)*speed.