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 janakiev.com
Compare Countries and Cities with OpenStreetMap and t-SNE - njanakiev
| | algobeans.com
Principal Component Analysis Tutorial - Algobeans
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| | You are exploring the nutritional content of food. How can food items be differentiated? How might they be classified? PCA derives underlying variables that help you slice your data for these insights.
| | nlml.github.io
In Raw Numpy: t-SNE - nlml
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| | This is the first post in the In Raw Numpy series. This series is an attempt to provide readers (and myself) with an understanding of some of the most frequently-used machine learning methods by going through the math and intuition, and implementing it using just python and numpy.
| | oslandia.com
OSM user classification: let's use machine learning! - Oslandia
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| | At Oslandia, we like working with Open Source tool projects and handling Open (geospatial) Data. In this article series, we will play with the OpenStreetMap (OSM) map and subsequent data. Here comes the seventh article of this series, dedicated to user classification using the power of machine learn
| | wattsupwiththat.com
Climate science has died. The effects will be big. - Watts Up With That?
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| Reposted from the Fabius Maximus blog By Larry Kummer, Editor / 17 November 2019 Summary: Let's hit "pause" in the climate wars and see how we got here, where we are going, and what we can learn from this mess. "I can't use this result. It doesn't support the narrative." Photo 99364552 © Standret -...