AAS 233 // FULL TALK: Machine Learning
Channel: James Davenport
Date: 2019-01-22

Here's the full version of my talk in Machine Learning in Astronomy from #AAS233, through the eyes of a normal astronomer!

I cover a few real-world examples where I have incorporated machine learning into my research workflow, including clustering with DBSCAN, Gaussian processes for fitting time series, and KNearestNeighbor for easily fitting a complex surface. This is all made possible thanks to easy-to-use packages like sklearn in Python! 


Slides posted here:
https://speakerdeck.com/jradavenport/a-typical-users-ground-level-perspective-on-machine-learning-in-astronomy

VLOG GEAR:
Nikon D7500
Sigma 17-50mm f/2.8 
Takstar SGC-598
GorillaPod 5k

#AAS233