Hi, I'm a rising college sophomore majoring in Math-CS at a state school on the east coast (top 20 for CS based on grad rankings). I've had the fortunate opportunity to work with a professor these past few months in a lab. I really enjoy the work I'm doing, and have been seriously considering going to grad school for machine learning. I wanted to know if any Ph. D and non-Ph. D students could chime in about the work they're doing, whether they're in industry or academia, etc. I'm interested in hearing the difference between pursuing a Ph. D and not pursuing one if I eventually want to work in a career in CS doing machine learning stuff. So far the stuff I got to work on is in information retrieval, but in the future I'm also interested in other applications such as robotics/computer vision, NLP, etc.
Lastly, beyond math, statistics, cs classes, and coding/practicing extensively in all of them, what can I eventually do to become very good at ML?
Thanks
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