Anyone else who belongs to rest 14% ???

Ever faced that?!

My neural networks journey so far:
Look up tutorials -> see that Python is a popular tool for ML -> install Python -> pip install scipy -> breaks with some weird error involving BLAS library code -> spend half an hour fixing it -> try installing Theano -> breaks because my USERNAME HAS A SPACE IN IT LIKE SERIOUSLY? WTF -> make new account without a space in the name -> repeat till Theano -> run tests, found out that I didn't install CUDA support -> scrap the install and redo with CUDA support -> CUDA libraries take forever to download on shitty internet -> run tests -> breaks with some weird Theano compiler error -> go crying to friend -> friend tells me about Anaconda -> scrap the previous install and download Anaconda over shitty connection -> mess up conda environments because noobishness -> scrap, retry -> YESS I FINALLY GOT IT WORKING TIME TO DO SOME LEARNI-crap it's 4 in the morning already.

I realize that I'm a Python noob (and also, uni computers with GPUs have preconfigured Windows installed only, no Linux), but is installing Python libraries always such a pain? Am I doing something wrong? Installing via Anaconda felt like cheating, tbh.

!rant
Explaining bellman equations to a n00b

What do you call a group of variables that go to a gym? - A training set!!

Machine learning?
Maybe just maybe you could ask the user what he wants?

Or is the ML logic something like.
if(last_alert.status == unread)
user = uninterested;
else
user = interested;

Got my first upvote in kaggle. I know it's not much but it feels good

Anyone know of any good reference material that teaches you how to implement and train your own Yolo object localization neural network? (Preferably for tensorflow) I'm not looking for pretrained models that you just downloaded and run, rather a tutorial that walks you step by step through the implementation of the network, the reasoning behind the architecture, and examples of the training data used for the training as well as the process of training?

I know it's a lot to ask but it's really frustrating when ever example is just "clone this repo, hit run and use the pretrained models" sure it might get you up and running quickly but it doesn't really teach you anything...

P.s. - seems like every educational post goes from super simple to super complex without any middle ground and the super complex stuff doesn't tell you why its used the way way it is.

A friend who just got into ML recently.

"Dude, did you know how amazing ML is??"
"I'm training a computer to give out outputs, basic AI dude"
"Dude logistic regression is the shizz"
"You heard about backprop mate?"
"ANN is the next big thing. I'm currently working on one of the biggest AI project now"

So I casually ask him whether he completely his project or not. He proudly showed me a 9 lined code he copy pasted from Google (search for neural network in 9 lines) and said, "Dude I trained my laptop with some advanced AI techniques to give out the perfect XOR outputs"

He rounded off values like 0.99 to 1 and 0.02 to 0 to make it look perfect.

#facepalm