Episode 24: The Stargazing Automata, Part IV

Planets and quenching and stars, oh my! In this finale to our four-part series on machine learning in astrophysics, the team hits the (virtual) road to hear from the experts. Our first stop is Irvine, California, where Tae Baxter teaches us that even galaxies struggle to stay active during quarantine. Next, we’re off to Porto, Portugal, where Ana Barboza uses the planetary ends to justify the k-means. We also make a pit stop for some banana-inspired techno.

Episode 23: The Stargazing Automata, Part III

They say the 20th century explorers were astronauts. The 21st century explorers might be data scientists using unsupervised learning methods to explore big data. In this episode, we learn Alex and computers have a love-hate relationship with authority, Will struggles to introduce his space sound, and Malena tells us she has enough coffee tables.

Episode 22: The Stargazing Automata, Part II

Today we get to talk about everyone’s favorite problem: too much data and too little time! It’s not yet Halloween, but today’s spooky episode is full of GHOSTs and ASSASNs. Alex shares his recent work applying random forests to create a supernatural catalog and predictor of supernova types, and Will describes a tremendous classification effort to automatically sort variable stars.

Episode 21: The Stargazing Automata, Part I

This episode takes us into dark notions and oscillating questions! Malena spices rocks that orbit remote places and Will covers his dwarfs with tenderness and instability.

Okay, so none of this is true. But we used machine learning to generate this text! Episode 21 is the first in our three part series covering machine learning methods in astronomy.  First up? Neural networks!