Machine learning for Business (2103TEWDAS)

Universiteit Antwerpen (UA)

Hier vind je de beste samenvattingen om te slagen voor Machine learning for Business (2103TEWDAS). Er zijn o.a. samenvattingen, aantekeningen en oefenvragen beschikbaar.

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Data Science for Business

Foster Provost, Tom Fawcett

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Machine Learning for Business: samenvatting

Machine Learning for Business: samenvatting
Samenvatting • 93 pagina's • 2026

This summary is based on the slides covered in the Machine Learning for Business course taught at the Faculty of Business and Economics at the University of Antwerp. The theory covered in the tutorials is also discussed at the end of this summary.

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Compulsory courses master's degree in Digital Business Engineering

Compulsory courses master's degree in Digital Business Engineering
Voordeelbundel • 7 items • 2025

This bundle contains all summaries of the compulsory courses within the Digital Business Engineering program. - Digital Strategy and Governance - Strategic Management - Ethical and sustainable business - Machine Learning for Business - Digital Risk and Security - Empirical research in MIS - Engineering and design science methodologies

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Summary - Machine Learning for Business (2103TEWDAS)

Summary - Machine Learning for Business (2103TEWDAS)
Samenvatting • 90 pagina's • 2025
Ook in voordeelbundel

This is a summary of all the material to be learned from the lectures of the course "Machine Learning for Business," taught in the first semester of the academic year .