14.12.2022 - 10:00 - 15:00 Uhr
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Get ready for five live-streamed expert talks all about Machine Learning.
On this episode of WeAreDevelopers Live, let’s talk about one of the most trending topics in the tech world: Machine Learning.
We’ll kick if this day with something really cool: Automated Driving and how to master one of its main challenges by using Deep Learning algorithms.
In the next session, we’ll get some good advice on building Recommendation Systems that assist us in decision-making in several fields like Math, Classification, and Matrix Factorization.
After that, let’s dive deep into some data preparation, training, and also deployment challenges and get an overview of the end-to-end process for building large-scale language models.
Have you ever wondered how to integrate ML applications without the need to build an entire Platform team? Then the next talk is a perfect match, as we’ll get an experience report including (miss-)decisions that will help you to elevate your next projects.
And to end this day we’ll gain some detailed insights into how AI-enabled wearable technology can help us in healthcare, especially for vulnerable populations.
So don’t forget to tune in and enjoy the show!
⏰ 10:00 am – 10:45 am CET
??Anticipating the Future with Deep Learning
? Nils Murzyn, Machine Learning Researcher at ZF Friedrichshafen AG
⏰ 11:00 am – 11:45 am CET
?? Let’s talk about Recommendation Systems!
? Mihailo Joksimovic, Senior Software Engineer at Microsoft
⏰ 12:00 pm – 12:45 pm CET
?? Building Large-scale, Localized Language Models: From Data Preparation to Production
? Miguel Martínez & Meriem Bendris, Senior Deep Learning Data Scientist & Senior Solution Architect – AI at NVIDIA
⏰ 1:00 pm – 1:45 pm CET
?? Continuous Integration for ML applications – a practical example
? Matthias Niehoff, Head of Data at codecentric
⏰ 2:00 pm – 2:45 pm CET
?? Advancing Healthcare of Vulnerable Populations Through AI and Wearable Devices
? Ghada Alzamzmi, Research Scientist at National Institutes of Health
Register for the event here for free: https://bit.ly/WAD-Live-ML-Day
❤️ Thanks for watching!