Workshopinfo Ziele The goal of this workshops is to sensitize participants to the possible pitfalls of ML and AI approaches in the analysis and interpretation of data. Voraussetzungen All PhD Students who plan to use computational/quantitative ML/AI approaches as part of their work are welcome. Due to the trainers own experience, the focus of the examples will be from the intersection of data science, medical science and computer science. While it is open to students of all departments, it should be taken into consideration that a **basic understanding** of (or *tolerance to*) the mathematical foundations of ML and AI is required for this course and is also recommended. Sprache Englisch Formats des Workshops Präsenz Maximale Teilnehmendenzahl 16 Arbeitseinheiten 4 Zielgruppe Alle Phasen der Promotion Fachrichtung Humanities, Social Sciences, Law and Economics / Geistes-, Sozial-, Rechts- und Wirtschaftswissenschaften Nature and Life Sciences / Natur- und Lebenswissenschaften Buchungsberechtigte Personen Promovierende Teilnahmeberechtigt Berlin University Alliance (BUA) Frist für Ausbuchung Mi., 19.03.2025 - 12:00 Buchungsstatus Workshop buchbar