Submitted by Terib1e t3_yza3ap in deeplearning
My plan is to learn DSA Mathematics and learn machine learning. My goal is to work on ANIs and AGIs.
What can I achieve in a year? It would be great if I can land a job in this field. I can dedicate up to 5 hours every day. Also, can somebody point me to some roadmap or a course? I hear Andrew Ng's course is good.
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suflaj t1_iwyuyyo wrote
If your goal is to work on those things, you should look into getting a PhD, as you'll need to work at a fairly large company to even have a chance of working on those things, and the competition is fierce, so you need papers and good words for your name to push through.
In a year at that pace I assume you can cover the beginnings of deep learning till 2018 or 2019 (assuming 5 hours every day is around 1825 hours, which amounts to around 150 papers read thoroughly). Andrew Ngs course is OK, but it doesn't come close to being enough for what you need for your aspirations. You'll probably need one more year of reading papers and experimenting after that to reach state of the art.