Machine learning in geoscience with scikit-learn. Part 1: checking, tidying, and analyzing the dataset Machine learning in Planetary Science: compressing Pluto images with scikit-learn and PCA Machine Learning in Geoscience […]
As of yesterday, I no longer have a full-time day job. I am looking for opportunities. I’d love to hear about projects in geophysics, computational geoscience, data science, machine learning. Feel […]
Introduction At 11:53 am of September 14 2015, Marco Drago, an Italian postdoctoral scientist at the Max Planck Institute for Gravitational Physics (AKA Albert Einstein Institute) in Hannover, Germany, was the first person to see it: the […]
Introduction As written by Elwyn in the first post of this series, sketch2model was conceived at the 2015 Calgary Geoscience Hackathon as a web and mobile app that would turn an image of geological sketch […]
This is the second post of in a series of collaborative articles about sketch2model, a project from the 2015 Calgary Geoscience Hackathon organized by Agile Geoscience. The first post was […]
This guest post (first published here) is by Elwyn Galloway, author of Scibbatical on WordPress. It is the first in our series of collaborative articles about sketch2model, a project from the 2015 Calgary Geoscience Hackathon […]
Oh, the new, perceptual MatplotLib colormaps….. Here’s one stunning, recent Truecolor image of Pluto from the New Horizons mission: Below, I recolored using two of the new colormaps:
Read the full story on NASA’s Visualization Explorer site.