Applying Lessons from Kaggle-Winning Solutions to Real-World Problems

Have you ever wondered what happens to Kaggle-winning solutions after the competitions? Is there any truth in the myth that these winning solutions are just crazy stacks of ensemble with no real-world value? Come join a live GTC panel session to hear how Kaggle Grandmasters of NVIDIA (KGMON) team reuses their competition-winning models and techniques for real-world problems. They'll discuss how they successfully transferred knowledge gained from dozens of competitions into NVIDIA internal and customer projects. What do a pet cuteness scoring model and a human speech classification model have in common? Which competitions are the most useful when building a recommender system?