Overview

The Machine Learning with AstroML workshop held at the 235th Meeting of the AAS in Honolulu offers a valuable opportunity for those in the astronomical community to deepen their understanding of statistical and machine learning tools. Scheduled for the afternoon of January 6, 2020, this four-hour event provides a hands-on, interactive experience that encourages participants to engage directly with the astroML library.

Attendees will benefit from expert guidance and can look forward to exploring the latest methodologies outlined in the 2nd edition of the book "Statistics, Data Mining, and Machine Learning in Astronomy." The workshop format blends presentations and tutorial-based learning, ensuring that participants leave with practical skills in using astroML for various astronomical applications.

Features

Interactive Learning: The workshop includes short presentations followed by hands-on tutorials, enhancing engagement and comprehension.
Expert Guidance: Participants will have access to knowledgeable instructors and developers for personalized support throughout the workshop.
Jupyter Notebook Sessions: The use of Jupyter notebooks allows for a practical, coding-focused environment where participants can experiment with tools in real-time.
Updated Content: The focus on new material from the 2nd edition of the associated book ensures that participants are learning the latest techniques in machine learning.
Community Building: This workshop fosters networking among attendees and encourages collaboration within the astronomical community.
Open Source Tools: Introduction to the astroML library highlights the accessibility of powerful machine learning tools for everyone in the field.

Astroml

AstroML Notebooks

AstroML Workshop_AAS235

AstroML