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Big Data in Simulations and Observations

BigSkyEarth is organizing its final Training School, focused on Big Data in simulations and observations. Key practitioners from the astronomy, the Earth observation and the computer science domains will be participating in the School contributing the perspectives of both the academic and the industrial sector. Challenges are similar in astronomy and Earth Observation, with signal processing, statistics, machine learning, and computer science as the common denominator. BigSkyEarth Training Schools aim at boosting the communication within and between disciplines and applications areas by propagating and advancing relevant common solutions developed within Big Data analysis and management research and industrial environments. Their goal is to contribute with a valuable know-how encompassing from sensor and data modelling, features extraction and metadata, information representation, data structures, pattern recognition, statistical/machine learning, data analytics, advanced visualisation, to data mining and KDD.
When 26 November 2018 04:55 PM to
01 December 2018 04:55 PM
Where Turku FI
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Topics and general programme

The school will cover a wide range of topics:

  • Machine learning applied on topics such as finding bars in big simulations (e.g. Illustris)
  • Classical Machine Learning vs. Deep Learning
    • Representation Learning
    • Convolutional Networks
  • Supervised, Unsupervised, Reinforcement Learning, …
    • Classification
    • Regression
  • Astronomical Application Examples
    • Star/Galaxy Classification
    • Transient Classification
    • Transient Detection
    • De-blending
  • What is the network learning?
  • The principal components analysis and its application to spectra
  • Bayesian filtering and smoothing

More information about this event…