No-Code AI and ML for International Digital Marketing

Asignatura del Master in International Digital Marketing

Información académica

Créditos:
3 ECTS

Language:
English

Type of subject: Required

Description

Aquest curs pràctic explora temes com l'exploració de dades de màrqueting estructurades, no estructurades i temporals, mètodes de predicció empresarial, sistemes de decisió i recomanació empresarial, xarxes neuronals, mètodes de visió per computador i IA generativa per a empreses. Tot i que el curs es basa principalment en la plataforma sense codi RapidMiner, també s'introdueixen altres plataformes com Dataiku, Ikigai i Teachable Machine.

This subject forms part of the Master in International Digital Marketing, Follow the link for further information..

Lecturer Role

Tomislav Rimac

Coordinator | Director of the MIDM & MIM

Qualifications:

PhD in Business Administration and Management (IESE Business School)
MBA (University of Toronto)
BASc in Electrical Engineering and Computing (University of Zagreb)

Biography:

Tomislav Rimac’s research centres on channelling entrepreneurship to bring about positive social change and sustainable development, with a particular focus on business models, strategies, institutional changes and mechanisms of government linked to entrepreneurship and social and community innovation. He has worked as principal investigator on large-scale multinational research projects funded by the European Commission (SELUSI and SEFORÏS) and worked with the OECD on projects linked to entrepreneurship and social innovation. Before joining academia, he set up a social enterprise in Toronto and held several positions in the Canadian banking sector and international IT and engineering consultancy sector. In his free time he likes to take his dog for a walk through Alt Penedès vineyards and do pilates and yoga.