A Bluffer's Guide to Dimension Reduction - Leland McInnes
PyData NYC 2018
Dimension reduction is a complicated topic with a vast zoo of diverse techniques for different specialised problems. This talk will seek to cut through the technical detail and focus on the core intuitions that lie behind dimension reduction. From this point of view we'll see that there are only really two core ideas you need to know to understand dimension reduction.
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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.
Видео A Bluffer's Guide to Dimension Reduction - Leland McInnes канала PyData
Dimension reduction is a complicated topic with a vast zoo of diverse techniques for different specialised problems. This talk will seek to cut through the technical detail and focus on the core intuitions that lie behind dimension reduction. From this point of view we'll see that there are only really two core ideas you need to know to understand dimension reduction.
===
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.
Видео A Bluffer's Guide to Dimension Reduction - Leland McInnes канала PyData
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