Kip Nielsen is a PhD candidate in Atmospheric Science. He is using aircraft data and machine learning to analyze data, looking for trends and patterns that could help improve your weather forecast. – Kansas Public Radio
machine learning machine learning deployment
Kip Nielsen is a PhD candidate in Atmospheric Science. He is using aircraft data and machine learning to analyze data, looking for trends and patterns that could help improve your weather forecast. – Kansas Public Radio
Kip Nielsen is a PhD candidate in Atmospheric Science. He is using aircraft data and machine learning to analyze data, looking for trends and patterns that could help improve your weather forecast.  Kansas Public Radio
machine learning machine learning deployment

Kip Nielsen is a PhD candidate in Atmospheric Science. He is using aircraft data and machine learning to analyze data, looking for trends and patterns that could help improve your weather forecast. – Kansas Public Radio

Kip Nielsen is a PhD candidate in Atmospheric Science. He is using aircraft data and machine learning to analyze data, looking for trends and patterns that could help improve your weather forecast.  Kansas Public Radio