Machine Learning, Maths & Ethics: Hands-on

8d 8h

Machine Learning, Maths & Ethics: Hands-on

Machine Learning, Maths & Ethics: Hands-on
Hosted by POK
Provided by Politecnico di Milano
Taught by Pedro Marcelino, Ana Moura Santos
No fee required
Course not available


Course description

Would you like to know the basics of machine learning, but don't know where to start? Would you like to learn about the societal challenges of machine learning? Then, this course is for you!

This hands-on course in Machine Learning, Maths & Ethics, teaches you about the foundations of Machine Learning in an intuitive way. It has a heavy focus on exercises and examples of its applications. The course allows you to develop practical skills to build algorithms and stimulate critical thinking on the ethics of machine learning models.

Although the fields of computer science, artificial intelligence and machine learning are changing the world, the truth is that girls and women are still underrepresented in these fields. We prepared this online course, following the guidelines of FOSTWOM Erasmus+ project to develop MOOCs according to a gender conscious perspective in narratives, in the language, and in the use of images. Thus, we expect this MOOC to be a meaningful learning opportunity to empower young people, especially young women to follow these areas of expertise.

Are you going to miss the opportunity to learn about a technology that is transforming the world?

Total workload of the course: 40 hours

This MOOC has been designed by Instituto Superior Técnico (Lisbon), provided by Politecnico di Milano and developed in the frame of the FOSTWOM project.

This MOOC is one of the outputs of the Erasmus+ FOSTWOM project (No.2019-1-ES01-KA203-065924).

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Co-funded by the Erasmus+ Programme of the European Union

The European Commission’s support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.