AI News, How good is Cornell at machine learning?

How good is Cornell at machine learning?

While Cornell has an excellent set of courses in machine learning (several courses, covering theoretical machine learning, building systems/infrastructure for machine learning, optimization, statistical techniques, applications of machine learning such as NLP and CV, and applications beyond CS such as biology and genetics), its excellence really is a function of its ability to foster research.

One thing to note is the above list mentions the professors at Cornell, but clearly their contributions are in large part a consequence of having a great host of top-notch Ph.D.s to work alongside and mentor.

Going beyond this, Cornell is adding new faculty in ML (such as Chris De Sa) as well as in adjacent areas such as numerical analysis (Anil Damle) and optimization (Andrew Gordon Wilson) and collaborations across the board can only hope to strengthen Cornell’s profile in ML.

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