SOMACHINE
Machine Learning, Big Data, and Deep Learning in Astronomy
A Severo Ochoa School of the Instituto de Astrofísica de Andalucía (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 Instituto de Astrofísica de Andalucía (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), that 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
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Jorge Casillas, Universidad de Granada
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Salvador García, Universidad de Granada
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Julián Luengo, Universidad de Granada
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Juan Antonio Cortés, Universiadad de Granada
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Helena Domínguez Sánchez, ICE-CSIC
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Alberto Fernández, Universidad de Granada
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Diego García, Universidad de granada
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Federica Bianco, University of Delaware
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Meredith Rawls, Vera Rubin Observatory
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David Charte, Universidad de Granada
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Francisco Pérez, Universidad de Granada
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Dalya Baron, Tel Aviv University
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Javier Moldón, IAA
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Anna Bonaldi, SKAO
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Wolfgang Kerzendorf, Michigan State University
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Andrés Asensio, IAC
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Anabel Gómez, Universidad de Granada
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Siham Tabik, Universidad de Granada
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Kyle Boone, University of Washington
TOPICS
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Monday, 19th April 2021: Machine Learning
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Tuesday, 20th April 2021: Machine Learning
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Wedneday, 21st April 2021: Big Data
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Thursday, 22nd April 2021: Deep Learning
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Friday, 23rd April 2021: Applications in Astronomy
ORGANIZING COMMITTEE
Scientific Organizing Committee
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Rainer Schoedel (IAA-CSIC)
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Francisco Herrera (University of Granada)
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Salvador García (University of Granada)
Local Organizing Committee
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Alicia Pelegrina López (IAA-CSIC)
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Manuel González García (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 you 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 inscription will only become valid once the fee has been paid.
Registration fee
The 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 the registration form to wait for a free slot.
#ORGANIZATION
Funding: The organisers acknowledge financial support from the State Agency for Research of the Spanish MCIU through the "Center of Excellence Severo Ochoa" award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709).
Technical Secretariat: Baobab Eventos · Granada Congresos · somachine2020@granadacongresos.com