Second School on Data Science and Machine Learning

December 4 – 8, 2023

São Paulo, Brazil



Machine Learning (ML) concepts will drive critical changes in our society during the next decades. The cross-cutting character of ML tools can be used to attack a wide variety of problems that could improve our lives, for instance, designing solutions for medical diagnosis, providing smart assistance to the disabled and the elderly, and building solutions for public safety. The positive impact of these applications is expected to raise awareness on the subject and guide the creation of new public policies. For this reason, the training of people on the most advanced topics in ML is very important for the success and development of the area.

The School on Data Science and Machine Learning has the goal of teaching participants about modern machine learning techniques, their strengths and shortcomings, and how to apply them in different contexts. The school is targeted particularly at senior PhD students, working towards the completion of their thesis projects, as well as young postdocs.

The school participants will learn the formalism of machine learning, starting from an introductory level and going through more advanced topics like computer vision, sequential and recursive learning, anomaly and outlier detectors, and generative models. The theoretical lectures will be mixed with a set of hands-on sessions where participants will be able to apply the concepts to solving real-world problems.

There is no registration fee and limited funds are available for travel and local expenses.


  • Introduction to Machine Learning
  • Neural Networks
  • Convolutional Neural Networks
  • Generative Models
  • Reinforcement Learning
  • Natural Language Processing


  • Raphael Cobe (NCC-UNESP/AI2, Brazil)
  • Sergio F. Novaes (UNESP/AI2, Brazil) 
  • Thiago Tomei (NCC-UNESP/AI2, Brazil) 


Click HERE for online application

Application deadline: September 28, 2023



  • Raphael Mendes de Oliveira Cóbe (NCC – Unesp, Brazil): Introduction to Machine Learning Models and Neural Networks
  • Alexandre Xavier Falcão (IC – Unicamp, Brazil): Convolutional Neural Networks
  • TBA: Generative Models
  • Marcelo Finger (IME-USP, Brazil): Natural Language Processing
  • Felipe Fernandes Fanchini (FC-Bauru-Unesp, Brazil): Quantum Machine Learning



Click HERE for online application

Application deadline: September 28, 2023



Additional Information

BOARDING PASS: All participants, whose travel has been provided or will be reimbursed by ICTP-SAIFR, should bring the boarding pass upon registration. The return boarding pass (PDF, if online check-in, scan or picture, if physical) should be sent by e-mail to

COVID-19: Brazilians and foreigners no longer have to present proof of vaccination before entering the country.

Visa information: Nationals from several countries in Latin America and Europe are exempt from tourist visa. Nationals from Australia, Canada and USA need a tourist visa starting from January 10, 2024. Please check here which nationals need a tourist visa to enter Brazil.

Accommodation: Participants, whose accommodation will be provided by the institute, will stay at The Universe Flat. Hotel recommendations are available here.

How to reach the Institute: The school will be held at ICTP South American Institute, located at IFT-UNESP, which is across the street from a major bus and subway terminal (Terminal Barra Funda). The address which is closer to the entrance of the IFT-UNESP building is R. Jornalista Aloysio Biondi, 120 – Barra Funda, São Paulo. The easiest way to reach us is by subway or bus, please find instructions here.