Watch a recorded lecture where Prof. Dr. Markus Reichstein explores the intersection of deep learning and Earth System Science, focusing on process understanding through data-driven approaches. Learn how artificial intelligence techniques are being applied to understand complex Earth system processes and advance our knowledge of environmental systems. Discover the latest developments in combining traditional Earth science methods with modern deep learning approaches for improved scientific understanding and predictive capabilities.
Deep Learning and Process Understanding for Data-Driven Earth System Science - Lecture 37
AI Doctoral Academy via YouTube
Overview
Syllabus
Live Free 'AIDA AI Excellence e-Lecture' by Prof. Dr. Markus Reichstein, "Deep learning and Process Understanding for Data-Driven Earth System Science", 30th January 2024, CET.
Taught by
AI Doctoral Academy
Related Courses
-
Hybrid and Causal Machine Learning in the Earth Sciences - Lecture 36
-
Trustworthy AI and Cybersecurity Perspectives on Large Language Models - Lecture 32
-
Learning Manipulation Skills from Instructional Videos - Lecture 38
-
Variational Audio-Visual Representation Learning - Lecture 34
-
Advancing Earth System Predictability with Machine Learning Methods
-
Machine Learning and Earth System Modeling - From Parameter Calibration to Feature Detection
