4th International Summer School on
Big Data Analysis in Earth Sciences
EarthBiAs2018 is organised by the School of Environment of the University of the Aegean, in collaboration with Global Network for Environmental Science and Technology (GNEST). It is the 4th year that the International Summer School in Big Data Analysis in Earth Sciences is running and will be held in Rhodes from 3rd of September to 7th of September 2018.
“The term -Big Data- refers to various forms of large amount of data, which requires specific computing platforms for their analysis”
This is the 4th year the EarthBiAs Summer School is running and following the successful events in previous years, the programme covers a wide range of topics including Machine Learning, Data Science and Deep Learning using Big Data technologies. Courses are offered for participants with a background in mathematics, statistics, data science, software engineering, environmental modelling etc. All lectures are lab-based, presented by academics and industry professionals with deep experience in Big Data and Artificial Intelligence systems. The last day of the Summer-School, a hackathon event will be organised. In this challenge, participants and lecturers will be split into teams to prototype the solution of an analytical problem.
Topics to be covered
- Big Data frameworks (Spark, TensorFlow)
- Machine Learning on environmental data
- Data management and feature engineering using R and Python
- Deep Learning models on environmental time series data