Stuart Lynn - Using EOLearn to build a machine learning pipeline | PyData Global 2020
Talk
The past 10 years has seen an explosion of data from remote sensing satellites.This data, which can be used for a wide range of applications, can be hard to obtain and use. EOLearn aims to bridge the gap between the remote sensing and machine learning world. In this talk, we will discuss how to build a ML remote sensing pipeline in python using an ocean plastic detection project as an example.
Speaker
Stuart Lynn is the data science lead at the Data Clinic where he helps nonprofits use data to better serve their communities, conducts independent research and develops new tooling that enhances the use of open data.
Stuart is a firm believer that access to good data and tools can be a game-changer, having previously spent 6 years working at the Zooniverse, the world’s largest collection of online citizen science projects, and also headed up data science at CARTO, a company that specializes in making spatial data and analysis accessible.
Stuart holds a PhD in Astrophysics and a Masters in Mathematical Physics from the University of Edinburgh. When not working at Data Clinic you can find Stuart buried in his side projects, including building tools to explore historic maps, creative coding and tinkering with hardware.
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
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Видео Stuart Lynn - Using EOLearn to build a machine learning pipeline | PyData Global 2020 канала PyData
The past 10 years has seen an explosion of data from remote sensing satellites.This data, which can be used for a wide range of applications, can be hard to obtain and use. EOLearn aims to bridge the gap between the remote sensing and machine learning world. In this talk, we will discuss how to build a ML remote sensing pipeline in python using an ocean plastic detection project as an example.
Speaker
Stuart Lynn is the data science lead at the Data Clinic where he helps nonprofits use data to better serve their communities, conducts independent research and develops new tooling that enhances the use of open data.
Stuart is a firm believer that access to good data and tools can be a game-changer, having previously spent 6 years working at the Zooniverse, the world’s largest collection of online citizen science projects, and also headed up data science at CARTO, a company that specializes in making spatial data and analysis accessible.
Stuart holds a PhD in Astrophysics and a Masters in Mathematical Physics from the University of Edinburgh. When not working at Data Clinic you can find Stuart buried in his side projects, including building tools to explore historic maps, creative coding and tinkering with hardware.
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
Видео Stuart Lynn - Using EOLearn to build a machine learning pipeline | PyData Global 2020 канала PyData
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