Summer School of Machine Learning,
July 22nd - 31st, 2018


March, 15th
You can find your homework results at Make sure that you sign in to the website with the same account you used for solving the homework. If you would like to check your results, you can find private data sets for all homework tasks there as well.

In case your test doesn't match your score, contact us at by Monday March 19th 23:59. We will give our best to address reported issues until Wednesday March 21st 23:59.

March, 14th
We are working to enable preview of the grading results on Petlja's arena portal. We expect to have it up and running tomorrow. Thank you for understanding.

March, 9th
We would like to thank you for participating in the homework for this year's Petnica Summer Institute of Machine Learning. At this time we are evaluating your solutions on the private dataset. We will post an update on the website when grading is completed, no later than March 14th.
We are working on candidates selection. We expect to complete selection process by March 30th.

March, 2nd
We want to remind you that homework for this year's Petnica Summer Institute of Machine Learning is starting tonight, March 3rd at 00:01 on Please login with same credentials as you did when you filled in your application. You will have until March 6th at 23:59 to complete your assignment.

Best of luck,

February, 1st
Applications are now open!


Petnica Science Center and Microsoft Development Center Serbia invite interested university students to apply for the international summer school "Machine Learning", which will be held from 22nd to 31st of July 2018, in Petnica, Serbia.

For whom:
Machine Learning summer school is primarily aimed towards students of technical/mathematical disciplines. Our focus is on final year undergrad students or graduate students. Do note that some prior math/programming knowledge is desirable and will be considered a plus.

By whom:
Lecturers will be Microsoft Development Center Serbia engineers working on Machine Learning related projects and Petnica Science Center (PSC) associates, plus experts in the ML area.

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.

How to apply:
For details about the application process, refer to how to apply page.


  • Machine Learning Basics
  • Unsupervised Learning
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Random Classification/Regression Forests
  • Stay tuned for more...