For whom:
This summer school is aimed towards students interested in learning about different areas of Machine Learning and their applications. Our focus is primarily on final year undergrad students or graduate students.
We encourage students with non-technical backgrounds who are motivated to apply Machine Learning in their discipline to apply as well. Do note that some prior Python programming knowledge is desirable and would help you to get the most out of the seminar. If you are new to Python, you can start from here, and with online courses on Coursera.

By whom:
We are gathering Machine Learning experts with various backgrounds, including both academic researchers and engineers, some of whom are PSI.ML alumni. For more information about PSIML 10, see our website.

Our aim:
During the summer school, lecturers will share their extensive experience and knowledge of working on ML, and participants will advance their knowledge and understating of Machine Learning through intense all-day courses which will combine theoretical and practical work, including working on project tasks along with experts in this area.


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Starting: March 23th 00:01

Ending: You will have time until March 25th, 23:59:59 (UTC +1 Belgrade) to complete your homework solutions.