Seriously, Ubuntu can go burn in hell far as I care.

I've spent the better part of my morning attempting to set it up to run with the correct Nvidia drivers, Cuda and various other packages I need for my ML-Thesis.

After countless random freezes, updates,. Downgrades and god-knows-what, I'm going back to Windows 10 (yes, you read that right). It's not perfect but at least I don't have to battle with my laptop to get it running. The only thing which REALLY bothers me about it is the lack of GPU pass-through, meaning running local docker containers rely solely on the CPU. In itself not a huge issue if only I didn't NEED THE GOD DAMN GPU FOR THE TRAINING

Bought fucking nvidia gpu to test speed of some fucking machine learning models that generate speech.

6 hours wasted already for installing fucking dependencies
cuda, fucking tensorflow gpu, bezel and other shit

Fucking resetting password to download deb with cudnn,

really ??????? fucking emails are not delivered to my fucking mailbox

After mass click of send email and multiple account ban and unban I figured out I should login to nvidia website and then allow access to fucking developer every time I want to log in there - fuck shit

Uninstalling everything now looking for fucking compatible versions between software.

10 years in this business still fucking installation of dependencies is most difficult part

Fucking corporate business and their shitty installation instructions to fuck up peoples lives and switch them to the cloud.

Same was with fucking kubernetes

Fucking software dependency hell

It’s worse then ever before.

Fuck ....

- Finish "Introduction to algorithms"
- Learn some genetic algorithms
- Get my hands dirty on reinforcement learning
- Learn more about data streaming application (My currently app is still using plain stupid REST to transport image). I don't know, maybe Kafka and RabbitMQ.
- Learn to implement some distributed system prototypes to get fitter at this topic. There must be more than REST for communicating between components.
- Implementing a searching module for my app with elastic search.
- Employ redis at sometime for background tasks.
- Get my handy dirty on some operating system concepts (Interprocess Communication, I am looking at you)
- Take a look at Assembly (I dont want to do much with Assembly, maybe just want to implement one or two programs to know how things work)
- Learn a bit of parallel computing with CUDA to know what the hell Tensorflow is doing with my graphic card.
- Maybe finishing my first research paper
- Pass my electrical engineering exam (I suck at EE)