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ml beginners to advanced roadmap in one pic :)

yo, finally switching to linux :) planning to go with omarchy, btw which distro you guys use🥀

you will know more than 90% of ml enthusiasts just by reading these :)

ml grads starter pack 🤢

blog on - How do i read Machine Learning Research Papers :) covers where to find papers, when to start, how to implement & great advices. this is for anyone who wants to start with ml papers just a 6 min read of pretty dope shit✌️

my picks : 4, 6, 7, 8, 9 ur :

Pytorch version of the book 'Hands on machine learning' just came out. those reading the tensorflow & keras version, do check it out :) link to original post 👇

yo chat, in ml you need visualization to understand complex topics like kernel trick, dropout, regularization & other shit. just came across a yt channel that looks good to me, honestly haven't watched it but will consider it from now on :) link👇

bro got some real competition :)

people who switched over to PyTorch thought they had discovered literal heaven, ig it's my turn now :)

ml books 💀 ml projects 💀

finish it.

maths + llm 💀

Fall in love with the process, and the results will come. gm :)

nothing just reading one of the most influential papers in ml ---- "Attention Is All You Need"

all you need to get started with ml :)

yo, finally switching to linux :) planning to go with omarchy, btw which distro you guys use🥀

you will know more than 90% of ml enthusiasts just by reading these :)

my 4th sem results : 7.88 cgpa do i care : no

blog on - How do i read Machine Learning Research Papers :) covers where to find papers, when to start, how to implement & great advices. this is for anyone who wants to start with ml papers just a 6 min read of pretty dope shit✌️

fck bro, why it is so hard to lock in on a single task for like 2-3 hrs, there is always something that comes in the way. music is something that helps me, but still its not enough. what u guys do to maintain focus for longer durations. any tips u got :)

Pytorch version of the book 'Hands on machine learning' just came out. those reading the tensorflow & keras version, do check it out :) link to original post 👇

machine learning beginners blog around 20+ queries from resources, roadmaps, jobs, internship, math, non cs, beginners guide, almost touched everything. took around 3hrs to cover each query thoroughly any doubt you've ever had about ml will be cleared in this one, peace✌️ link👇

ml beginners to advanced roadmap in one pic :)

yo chat we're 1k now :) kinda short of words rn, just thank you all now the imp thing is that i'll release a blog covering your doubts about research papers like how i read, where to find them & all shit. so comment down any query you have regarding ml research papers drop it👇

people who switched over to PyTorch thought they had discovered literal heaven, ig it's my turn now :)

ml grads starter pack 🤢

anyone interested to gift me a premium 🥹

Out of your vulnerabilities will come your strength. gm :)

just wanted to contribute back to ml community comment down any query you have regarding your ml. cs. journey, will wait for 2-3 days then i'll publish a blog answering all your query just be on the point, don't ask vague shit also no fcking motivation or consistency shit :)

you know how to use GPT & i know how to build one :)

4 am - ig its fcking 6hrs since we are switching to omarchy. me and my bois are up :)