SOMACHINE
Machine Learning, Big Data, and Deep Learning in Astronomy
A Severo Ochoa School of the Institute of Astrophysics of Andalusia (CSIC)
#THE SCHOOL
The second edition of the IAA-CSIC Severo Ochoa School on Machine Learning, Big Data, and Deep Learning in Astronomy (SOMACHINE 2021) will be held at the Institute of Astrophysics of Andalusia (CSIC), Granada, from Monday 19th to Friday 23rd of April 2021. It is directed at researchers in astrophysics of all levels and aims at providing them with a thorough background in the advanced data processing techniques of Machine Learning, Big Data, and Deep Learning. Classes will be taught by experts from the Andalusian Institute of Data Science and Computational Intelligence (DaSCI) of the University of Granada (UGR), which belongs to the worldwide leading research institutes in its field. The theoretical lessons will be complemented by practical hands-on lessons and lectures on applications of Machine Learning, Big Data, and Deep Learning in astrophysical research.
VENUE
The school will be held online, via Zoom
TUTORS
Jorge Casillas, University of Granada
Salvador Garcia, University of Granada
Julian Luengo, University of Granada
Juan Antonio Cortés, University of Granada
Helena Domínguez Sánchez, ICE-CSIC
Alberto Fernandez, University of Granada
Diego Garcia, University of Granada
Federica Bianco, University of Delaware
Meredith Rawls, Vera Rubin Observatory
David Charte, University of Granada
Francisco Perez, University of Granada
Dalya Baron, Tel Aviv University
Javier Moldón, IAA
Anna Bonaldi, SKAO
Wolfgang Kerzendorf, Michigan State University
Andres Asensio, IAC
Anabel Gomez, University of Granada
Siham Tabik, University of Granada
Kyle Boone, University of Washington
TOPICS
Monday, 19th April 2021 : Machine Learning
Tuesday, 20th April 2021 : Machine Learning
Wednesday, 21st April 2021 : Big Data
Thursday, 22nd April 2021 : Deep Learning
Friday, 23rd April 2021 : Applications in Astronomy
ORGANIZING COMMITTEE
Scientific Organizing Committee
Rainer Schoedel (IAA-CSIC)
Francisco Herrera (University of Granada)
Salvador García (University of Granada)
Local Organizing Committee
Alicia Pelegrina López (IAA-CSIC)
Manuel Gonzalez Garcia (IAA-CSIC)
#DAILY SCHEDULE
#MATERIAL/SOFTWARE
All participants should have a laptop or desktop available.
The practical sessions will rely on Jupyter notebooks and the participants should have (ideally) Anaconda installed.
Further details will be announced in due time
There is a repository on Github that contains much relevant information: https://github.com/spsrc/somachine2021. On the Github repository you will find, among other things, a link to the notebooks including virtual machines, for executing the practical parts of the school. There is also information on how to install Apache Spark and Anaconda on your own computer if you wish to do so (but this is not necessary because we also provide a VM)
#REGISTRATION
How to register?
To formalize the participation you must fill in the mandatory fields in the registration form below. Payment can be made by bank transfer or credit card through the registration platform. If bank transfer is chosen, you must state clearly the name and the reference received by email. An registration will only become valid once the fee has been paid.
Registration fee
Registration before April 9th is €50.
After April 9th a surcharge of €20 will be applied to the registration fee.
The School is complete. If you are still interested in joining the School, fill out the registration form to wait for a free slot.
#ORGANIZATION
Funding : The organizers acknowledge financial support from the State Agency for Research of the Spanish MCIU through the "Center of Excellence Severo Ochoa" award to the Institute of Astrophysics of Andalusia (SEV-2017-0709).
Technical Secretariat: Baobab Events · Granada Congresos · somachine2020@granadacongresos.com