Machine Learning Engineering between concepts ,theory and the real world

Name: Machine Learning Engineering between concepts ,theory and the real world
Start: 2024-04-03T22:00:00+01:00
End: 2024-04-03T23:30:00+01:00

Université des Sciences et de la Technologie d'Oran Mohamed-Boudiaf USTOMB - Oran, Algeria

Machine Learning Engineering bridges the gap between theoretical concepts of machine learning and their application in the real world. It involves designing, building, deploying, and maintaining machine learning systems to solve real-world problems efficiently and effectively. RSVP NOW

Apr 3, 9:00 – 10:30 PM

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Key Themes

Machine Learning

About this event

The Machine Learning Engineering Conference 2024 brings together experts from academia and industry to discuss the latest advancements and challenges in deploying machine learning models at scale. Keynote speakers delve into the intersection of theory and practice, showcasing how cutting-edge algorithms are applied in various domains, from healthcare to finance. Workshops offer hands-on experiences in deploying models in production environments, emphasizing best practices in data preprocessing, model training, and deployment pipelines. Panel discussions explore ethical considerations and regulatory frameworks shaping the field. Attendees gain insights into the evolving landscape of machine learning engineering, equipping them to navigate the complexities of deploying robust and responsible AI systems in the real world.