Found 61 talks archived in Computing
Abstract
The shell (or command-line) is the most commonly used (for advanced operations) interface to Unix-like operating systems.
In this session we'll introduce some of the most commonly used command-line/shell features and how they may be used in a hypothetical research project, using real astronomical data sets.
The session plan (with a listing of used commands and short explanation) is available here: https://gitlab.com/makhlaghi/smack-talks-iac/-/blob/master/smack-2-shell.md
https://rediris.zoom.us/j/98301657954
Abstract
Short Meetings on Astro Computing Knowledge (SMACK) are a series of talks, or more appropriately 'live demonstrations', presented in the Instituto de Astrofísica de Canarias (IAC), targeting graduate students and researchers. The main aim of the talks is to demonstrate the use and benefits of basic software tools that are commonly required for astronomical research. These talks will be showcasted at IAC Talks and recorded for easy future reference by the community.
The 1st SMACK is a brief introduction to the linux shell and the basic tools that come with it. We'll assume no previous knowledge and include a brief history of the POSIX standard.
Abstract
Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Supervised learning: classification and regression
Lecture 4
Abstract
Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Supervised learning: classification and regression
Lecture 3
Abstract
Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Deep learning
Lecture 4
Abstract
Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Data challenges and solutions in forthcoming surveys
Lecture 4
Abstract
Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: General overview on the use of machine learning techniques in astronomy
Lecture 4
Abstract
Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Machine learning methods for non-supervised classification and dimension reduction techniques
Lecture 4
Abstract
Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Data challenges and solutions in forthcoming surveys
Lecture 3
Abstract
Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: General overview on the use of machine learning techniques in astronomy
Lecture 3
Upcoming talks
- Control de temperatura y encendido de los armarios de instrumentos de GTC con PCL BeckoffManuel Luis AznarFriday November 29, 2024 - 10:30 GMT (Aula)
- Properties and origin of thick disks in external galaxiesDr. Francesca PinnaThursday January 16, 2025 - 10:30 GMT (Aula)