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Learning Machine Learning 2020

Learning Machine Learning 2020 is the third version of the series of workshops Learning Machine Learning, which started on 2018. LML-2020 is organized Universidad del Rosario, and the Harvard-Smithsonian Center for Astrophysics, with the support from Universidad de los Andes and Carnegie Mellon. It targets an audience ranging from beginners to experts in data science, machine learning and related fields. The workshop uses a theory-practice methodological approach, which guarantees that the knowledge that is given is put into practice.

 


Organizan


Methodology


Benefits


Speakers


Schedule

Date: July 13th to July 18th, 2020
Schedule​: Monday to saturday
Venue: Claustro, Universidad del Rosario, Calle 12C No. 6-25, Bogotá, Colombia.



Fee: $ 1.450.000 COP - $ 427 USD

  • Early bird discount: 10% (until June 15th,2020)
  • UR Community: 10%
  • International Community: 10%
  


Organizing committee

Valérie Gauthier Umaña - Department of Applied Mathematics and Computer Science
Juan Fernando Pérez - Department of Applied Mathematics and Computer Science
Alexander Caicedo - Department of Applied Mathematics and Computer Science
Germán Obando - Department of Applied Mathematics and Computer Science
Rafael Martínez - Harvard-Smithsonian Center for Astrophysics
Luis Felipe Giraldo - Universidad de los Andes

*La Universidad del Rosario se reserva el derecho de cambiar o modificar el contenido y/o profesores del curso.


Registro


Condiciones Generales

The University reserves the right to cancel a course or program if the minimum financial resources needed to open the course or program are not met. In such event, the University will refund 100% of the amount paid by the students in the currency of origin by electronic transfer (wire transfer) to the bank account they have provided. The transfer will be made within 15 business days following the date that the participant's bank account information was received.

In the event that a participant decides not to take the course or program and has already paid the corresponding enrollment amount, provided the course has not commenced, the participant may request the refund of his/her money. In this case, the University will make an electronic transfer in the amount of 90% of the amount that was originally received; 10% of which will be retained for the reimbursement of administrative and banking expenses incurred by the university. The refund will be made in the original payment’s currency of origin within 15 business days following receipt of the request to withdraw, cancel and receive a refund.

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