Please log in to watch this conference skillscast.
The answer is a mix of measurements, models and statistics. In this session, explore the observations, predictions and forecast models, and weather data as a variable to consider in machine learning models. Learn how it is done and ways you can use weather and climate data from several examples.
YOU MAY ALSO LIKE:
A Beginners Guide to Weather and Climate Data
Margriet is a Data Scientist and Developer Advocate in the IBM UK team. She develops and presents talks and workshops about data science and AI. She is active in the local developer communities through attending, presenting and organising meetups. She has a background in climate science where she explored large observational datasets of carbon uptake by forests during her PhD, and global scale weather and climate models as a postdoctoral fellow.