Let me preface with - I am new to machine learning and deep learning in general…
Jumping in the deep end very early. Current build:
i7 6850k (its the lowest chip that allows 40pcie lanes)
asus rampage v edition 10 mobo (want access to 128 gig ram if needed - m.2 etc)
32 gigs corsair ram ddr4 3200
1T m.2 for boot and hard drive
1T ssd for second OS and storage
1080 ti overclocked asus rog gpu
now the hard part - I will have windows 10 on one drive and ubuntu on the other.
i have been using python via pycharm ide
should i make windows 10 or ubunto my machine learning environment? My guess is ubuntu has the least amount of issues and conflicts with libraries etc…
what do i need to install to have the gpu locked and loaded for machine learning and AI libraries (modules)
should i still use pycharm or run all modules through anaconda? sometimes just trying to install a module with all the dam failures is so frustrating ya want to quit. seems something is always missing.
does anyone know of a reference for getting a clean ubuntu install locked and loaded to the brim with all important machine learning and AI libraries/modules installed…a step by step?
thank you all in advance…