3 ms·
I have a ML PhD - maybe slightly qualified to answer this question. Yes, absolutely doable. Immerse yourself into learning things well. Learn the basics. Don't
by srvmshr 3y ago
I have a ML PhD - maybe slightly qualified to answer this question.
Yes, absolutely doable. Immerse yourself into learning things well. Learn the basics. Don't do course hopping & book hopping - pick a rock solid book or lecture series, devour it & get building. The last part is the most important part.
People with ML MS/PhD only have an additional (1) degree & (2) networking. If you invest time, you can overcome (2) by asking good questions in Twitter/Reddit & making connections. I still do it after finished my degree. Twitter is the Linkedin for ML.
As for (1), YSK that most advisees are getting advised by professors who made it big before deep learning took off. So everyone is still on the learning curve of sorts - advisors, advisees and your peers. Sometimes student's intuitions could be better than the professor's. Don't sweat over it. Focus on building.