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Mnbvcx0001 t1_j92jb58 wrote

I am not a scientist or PhD holder but really fascinated by what ML can do and thus leveling up through a bootcamp to learn DS and ML. My question is how to get into ML research while doing my day job? I am interested in how ML can be used for CV as well as areas of cybersecurity. How should a person like me go about researching a simple topic and collaborate with more experienced community? TY for any guidance.

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Downtown_Finance_661 t1_j96nj5k wrote

ML is a mathematical discipline. You have to read books to dive into it. Collaboration is possible after you become usefull. Try "Grocking deep learning" for simple introduction to neural networks. Also check classical ml tasks in regression/classification/trees and drill them. This is hard work wich can not be substituted by being part of some community.

Update: Before it you better learn basics of python programming language. Find lectures with homeworks which are not connected with ML itself (16 hours + 40 hours will be enough)

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ParanoidTire t1_j9hc4uq wrote

My journey started years ago by wanting to understand the DQN paper. Hintons coersera course was a nice start and after that it was just going down the rabbit hole which are citations. It takes a lot of effort in the beginning because every single sentence you read will introduce new topics to you that you never heard before. But after a while these become second nature and you won't spend any second thoughts on them anymore. It just takes preserverance and will imo.

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