Start of the summer school

The Data Science Summer School has started today!

From June 27 to June 30, speakers will open the curtain to the world of applied mathematics in machine learning and artificial intelligence!

Today, Natalia Kussul made a welcoming speech and presented the educational programs of the MMAD Department, satellite geospatial data analysis projects, new European projects IMERMAID and SWIFTT.

Together with Hanna Yaylymova, the students registered with Google Earth Engine and analyzed the first steps of working with Qgis software.

The next three days promise to be interesting and eventful, as the school students will present their own reports.

School program

June 28
Yevhen Salii. Machine Learning Methods for Forest Cover Monitoring and Forest Disease Tracking Using Satellite Data within the SWIFTT Project
Volodymyr Kuzin. Cloud resources for working with large fields within the European projects SWIFTT, OCRE and iMermaid

June 29
Leonid Shumilo. Practical application of Generative Adversarial Networks for training set augmentation
Artem Shelestov. Generative Adversarial Networks for modeling urban development dynamics

June 30
Sofia Drozd. Satellite data analysis in the task of monitoring war-damaged agricultural areas within the World Bank project
Nazar Ponochevnyi. Big language models and programmatic interaction with artificial intelligence

One of the days, Oleksandr Yavorsky will also give a presentation on “What does machine learning really teach?”

Each student will work on their own project, present the results, and receive a certificate of completion!

The order of the International Summer Scientific and Professional School in Data Analysis can be found here.