From Photometric Redshift to Improved Weather Forecasts - Kai Polsterer - 6/25/2019

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Lecture on machine learning applications across astronomy and meteorology by Kai Polsterer. Teaches algorithmic approaches to photometry, redshift estimation, and weather prediction.

A 27-minute video from caltech: “From Photometric Redshift to Improved Weather Forecasts - Kai Polsterer - 6/25/2019”.

Programming & CS Science & Math

Video by caltech, played through YouTube's embedded player.

Part of AstroInformatics 2019 Conference

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