for this, I ordered myself a nice GTX 1080 TI to put into the server that I'm waiting for

about 30% of my database is tagged and categorized correctly, the rest is trash

I am working on a ML model to categorize the rest

1080ti? damn

I'm dumb so how come a GPU will help with things? <:GWchinaSakuraThinking:398950680217255977>

ml accel

@sum https://github.com/dotnet/machinelearning

Or will it boost the machinelearning shit

look at their examples

like the titanic survival rate

Never got too deep into it other than a forced "something" tutorial on MatLab

they are self-explanatory

Though, ideally, you should be grabbing something like Volta if you move to a different ML framework, like Tensorflow

ohshit

I didn't knew C# had ML

I always thought that for ML you'd use python and only python

my priorities right now are

- get better hardware
- improve site performance
- improve database quality to deliver better search results
- add more features

add more features would be your filters

`- add more features`
pornspider pass <:GWnanaPepoHype:392308469488680961>

but since I do this on a freetime basis and you can see I have more important tasks before that, it might take a while

because filters are useless, if half my datasets don't have a duration in the first place

first, I need to increase the data quality

Also .NET ML is much nicer to use than python

give it a try

Microsoft is doing everything right except for windows, these days

I will, once I finish the MVC course

MS is doing Windows correctly

>

just not consumer Windows

>

Windows Server sucks ass

there's a reason I'm running .NET pornspider on Linux with mono

Oh yeah, but like

LTSB, Education, and Enterprise Win10 are the way to go

LTSB is 7 with 10 kernel, no "major update" BS, and no metro/cortana/botnet

Metro looks nice tho

meant metro apps

the UI is kept

Does it run gaymes?

Not UWP ones.

But it runs gaymes, yeah