Applications of Machine Learning for Climate Change and Variability

ENR-223 14 College Farm Rd, New Brunswick

Speaker: Zachary Labe, Princeton University and NOAA/GFDL Abstract: The popularity of machine learning methods, such as neural networks, continues to rapidly grow. The interest in these tools also coincides with a growing influx of big data, high performance computing capabilities, and the need for greater efficiency in solving a range of tasks. However, there is also some hesitancy for considering the ...