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Join Machine Learning Week Europe (#MLWeek) to hear top practitioners describe the design, deployment and business impact of their #machinelearning projects.

Europe
Joined August 2012
Early Bird pricing expires next Friday!
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Don’t miss your opportunity to join Europe’s most practical machine learning event—at the best possible rate! Until 25 April, you can still get your ticket at a special discounted price. After that, prices go up.
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In this talk, Simon presents a service architecture that promotes seamless collaboration between data science and operations teams. ow.ly/ggPm50TOkJo #mlweek #machinelearning
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Muhammad Saad Uddin will outline their approach to integrating tech stacks and chatbot design, highlighting real-world industrial benefits. ow.ly/QWuW50TOkw5 #mlweek #machinelearning
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Miha addresses the engineering challenges of building interactive active learning systems on a practical example of large-scale video analysis. ow.ly/JaoH50TOkni #mlweek #machinelearning
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Dr. Michele Dallachiesa and Andreas Leed discuss Hong Kong's challenges in managing 500+ capital projects using ML models to prevent delays and budget overruns, presenting solutions and guidelines. ow.ly/Iecc50TOkkO #mlweek #machinelearning
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In this talk Maximilian presents xLSTM, a novel architecture for LLMs that scales only linear in context length while still outperforming Transformers on language modeling. ow.ly/HgIF50TOkgo #mlweek #machinelearning
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Miha addresses the engineering challenges of building interactive active learning systems on a practical example of large-scale video analysis. ow.ly/rwi550TJzvj #mlweek #datascience #machinelearning
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If you haven't grabbed your ticket yet, then now is the time. Register before this Friday, 27 September, to secure the Early Bird ticket and save up to €400. 👉 ow.ly/Znli50Tu8SA #mlweek #predictiveanalytics #machinelearning #deeplearning #generativeAI
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Hansel will explain how DaVita used a simpler, interpretable model to reduce hospitalizations in dialysis centers. He’ll discuss balancing model performance with clinical interpretability to gain physician buy-in. ow.ly/J1Ps50TkZZT #mlweek #HealthcareAI
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