First School on Data Science and Machine Learning

December 16-20, 2019

São Paulo, Brazil



Machine Learning (ML) concepts will drive some critical changes in our society during the next decades. The cross-cutting character of the 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 it will guide the creation of new public policies. In that, sense, 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


  • Nathan Berkovits (ICTP-SAIFR/IFT-UNESP, Brazil)
  • Raphael Cobe (NCC-UNESP/AI2, Brazil)
  • Sergio F. Novaes (UNESP/AI2, Brazil)
  • Maria Spiropulu (Californa Institute of Technology, USA)
  • Thiago Tomei (NCC-UNESP/AI2, Brazil)


  • Reinaldo A. C. Bianchi (FEI, Brazil)
  • André Carlos Ponce de Leon Ferreira de Carvalho (ICMC – USP, Brazil)
  • Anna Helena Reali Costa (EP-USP, Brazil)
  • Alexandre Xavier Falcão (IC-UNICAMP, Brazil)
  • Marcelo Finger (IME-USP, Brazil)
  • João Paulo Papa (FC-Unesp, Brazil)
  • Felipe Leno da Silva (EP-USP, Brazil)

Hands-on activities:

  • Marcos C. S. Santana (UNESP-Bauru, Brazil)
  • Davi Santos (ICMC – USP, Brazil)
  • Italos E. S. de Souza (UNICAMP, Brazil)

Satisfaction survey:



Online application is now closed


School program: PDF updated on November 25, 2019


Repository also available HERE

# Day 1

André Carlos Ponce de Leon Ferreira de Carvalho (ICMC – USP, Brazil): Neural Networks

Slide 1Slide 2Slide 3Slide 4Slide 5

# Day 2

Alexandre Xavier Falcão (IC-UNICAMP, Brazil): Convolutional Neural Networks

# Day 3

João Paulo Papa (FC-Unesp, Brazil): Generative Models

# Day 5

Reinaldo Bianchi (FEI)
Anna Helena Reali Costa (EP, USP): Reinforcement Learning
Felipe Leno (EP, USP)


First School on Data Science and Machine Learning

Additional Information

Registration: ALL participants should register. The registration will be on December 16 (Monday) at the institute at 08:00 am.

List of Participants:  Updated on December 10, 2019

Visa information: Nationals from several countries in Latin America and Europe are exempt from tourist visa. Nationals from Australia, Canada, Japan and USA can apply for an e-visa through VSF Global. Please check here which nationals need a tourist visa to enter Brazil.

BOARDING PASS: All participants, whose travel has been provided or will be reimbursed by the institute, should bring the boarding pass upon registration, and collect an envelope to send the return boarding pass to the institute.

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.

Yellow fever vaccination is recommended for travellers going to Brazil. Note that the vaccine needs to be taken at least ten days before the trip to be effective. Information: