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DTSTART;VALUE=DATE:20240904
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SUMMARY:Data and Machine Learning Operations (DataOps and MLOps) (2024)
DESCRIPTION:Welcome to Data and Machine Learning Operations (DataOps and MLOps) \nDescription:  The course will cover central concepts\, methods\, techniques\, and tools within DataOps and MLOps. Topics include Data Augmentation\, Labeling\, Cleaning\, Pre-processing\, Quantifying the Data Quality\, Lifecycle\, machine learning model deployment\, ML pipeline orchestration\, monitoring and maintenance (via updating with transfer learning OR retraining) in production\, ensemble algorithms\, and technical infrastructure. \nPrerequisites:  Bachelor and master degrees in computer science or software engineering\, including knowledge on machine learning and data management as introduced in typical undergraduate courses\, as well as significant practical experience with these topics. \n  \nOrganizer: Christian Thomsen \nLecturers: Alexandros Nanopoulos\, University of Hildesheim \nECTS: 2 \nDate/Time: 4 – 6 September 2024 \nPlace: Selma Lagerlöfs Vej 300\, room 0.2.90 \nZipcode: 9220 \nCity: Aalborg \nDeadline: 15 August 2024 \nMax no. Of participants: 15 \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/data-and-machine-learning-operations-dataops-and-mlops-2024/
LOCATION:Aalborg University                Selma Lagerlöfs Vej 300\, room 0.2.90\, Aalborg
CATEGORIES:PhD Course
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