2 авг. 2024 г. · Purpose. This course will introduce key concepts and techniques used to work with large datasets, in the context of the field of astrophysics.

The ZTF Summer School is a yearly workshop at UMN that aims to introduce students to concepts and research topics related to the Zwicky Transient Facility.

This course will introduce key concepts and techniques used to work with large datasets, in the context of the field of astrophysics.

This year's theme for the ZTF summer school is AI and machine learning in time-domain astronomy. The program will have a special focus on unsupervised and ...

Course materials for Big Data in Astrophysics. The topics of each week's lectures are described in the syllabus PDF. Lectures are in directories named XY/ ...

A notebook to learn about ML for astronomy through BTSbot. - Theodlz/bts-ml-ztf-summer-school. ... ZTF Summer school 2023: Machine Learning for Time-Domain ...

University of Minnesota hosts ZTF summer school ... 2024 Edition of the ZTF Summer School, focusing on AI and Machine Learning. ... Twitter YouTube LinkedIn Github.

Aimed at the graduate student level, the school provides an introduction to major topics of current research as well as hands-on instruction in time-domain ...

Продолжительность: 25:04
Опубликовано: 16 сент. 2024 г.

ZTF Summer School 2023 workspace. Contribute to ZTF-Summer-School/ztf_summer_school_2023 development by creating an account on GitHub ... © 2024 GitHub, Inc.