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Learn about the winning approach by Team Jeroen Cottaar and the key techniques they used in Yale/UNC-CH - Geophysical Waveform Inversion competition. This competition challenged participants to combine physics-based models and machine learning to advance Full Waveform Inversion (FWI), a technique used to create detailed subsurface images. They developed solutions to overcome the limitations of traditional physics-based approaches and pure machine learning models. 👉 Competition: https://www.kaggle.com/competitions/w... 🏆 Leaderboard: https://www.kaggle.com/competitions/w... About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow Kaggle online 🌐 Visit the WEBSITE: https://www.kaggle.com ✍️ Check out our BLOG: https://www.kaggle.com/blog 🐦 Follow Kaggle on TWITTER: / kaggle 🔗 Connect with us on LINKEDIN: / kaggle 🎮 Join us on the Kaggle Discord server: / discord 🎥 Subscribe to our YouTube channel: / @kaggle #Kaggle #DataScience #MachineLearning #Geophysics #FWI #Physics #SubsurfaceImaging