XXX Canary Islands Winter School 2018

Winter School focused on Big Data Analysis in Astronomy, organized by the IAC on 4th to 10th November 2018.

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Monday November 5, 2018
Prof. George Djorgovski
Caltech, Division of Physics, Mathematics and Astronomy

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 1


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Monday November 5, 2018
Prof. Mario Juric
University of Washington

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Data challenges and solutions in forthcoming surveys
Lecture 1


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Monday November 5, 2018
Prof. Michael Biehl
Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Supervised learning: classification and regression
Lecture 1


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Monday November 5, 2018
Prof. Michael Biehl
Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Supervised learning: classification and regression
Lecture 2


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Monday November 5, 2018
Mrs. Dalya Baron
School of Physics and Astronomy, Tel-Aviv University

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 1

No sound available


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Monday November 5, 2018
Prof. Marc Huertas-Company
Université Paris-Diderot - Observatoire de Paris

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Deep learning
Lecture 1


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Tuesday November 6, 2018
Prof. George Djorgovski
Caltech, Division of Physics, Mathematics and Astronomy

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 2


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Tuesday November 6, 2018
Prof. Mario Juric
University of Washington

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Data challenges and solutions in forthcoming surveys
Lecture 2


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Tuesday November 6, 2018
Mrs. Dalya Baron
School of Physics and Astronomy, Tel-Aviv University

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 2


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Tuesday November 6, 2018
Mrs. Dalya Baron
School of Physics and Astronomy, Tel-Aviv University

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 3


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Tuesday November 6, 2018
Prof. Marc Huertas-Company
Université Paris-Diderot - Observatoire de Paris

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Deep learning
Lecture 2


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Tuesday November 6, 2018
Prof. Marc Huertas-Company
Université Paris-Diderot - Observatoire de Paris

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Deep learning
Lecture 3

No sound available since minute ~5.


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Wednesday November 7, 2018
Prof. George Djorgovski
Caltech, Division of Physics, Mathematics and Astronomy

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


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Wednesday November 7, 2018
Prof. Mario Juric
University of Washington

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Data challenges and solutions in forthcoming surveys
Lecture 3


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Wednesday November 7, 2018
Mrs. Dalya Baron
School of Physics and Astronomy, Tel-Aviv University

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


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Thursday November 8, 2018
Prof. George Djorgovski
Caltech, Division of Physics, Mathematics and Astronomy

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


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Thursday November 8, 2018
Prof. Mario Juric
University of Washington

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Data challenges and solutions in forthcoming surveys
Lecture 4


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Thursday November 8, 2018
Prof. Marc Huertas-Company
Université Paris-Diderot - Observatoire de Paris

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Deep learning
Lecture 4


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Thursday November 8, 2018
Prof. Michael Biehl
Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Supervised learning: classification and regression
Lecture 3


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Friday November 9, 2018
Prof. Michael Biehl
Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen

Abstract

Series: XXX Canary Islands Winter School of Astrophysics: Big Data in Astronomy
Topic: Supervised learning: classification and regression
Lecture 4