Summer School of Machine Learning

We invite interested university students to apply for the 9th international school “Practical Seminar In Machine Learning”, which will be held during July 2023. Precise date and location will be announced soon, so stay tuned!

About our program

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 PSIML alumni.

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


  • Machine Learning Basics
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Convolutional Neural Networks
  • Transformers
  • Graph Neural Networks
  • Random Classification
  • Regression Forests
  • Generative models