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ABOUT EVENT
Applied Machine Learning Days brings together like-minded professionals to discuss the future of AI and Machine Learning.
Come join Applied Machine Learning Days for four days of talks, tutorials, and workshops on Machine Learning and Artificial Intelligence with top speakers from around the world. Applied Machine Learning Days is a non-profit event hosted by École polytechnique fédérale de Lausanne. Applied Machine Learning Days bring attendees to Switzerland to discuss the future of AI and Machine Learning and the impact these technologies will have on our society. Come see amazing speakers and attend knowledgeable workshops at Applied Machine Learning Days 2019.
“It is important to understand what you CAN DO before you learn to measure how WELL you seem to have […]
Quality education is the basis of a functioning knowledge society. In our experimental event, we explore the current state of […]
This introductory-level half-day workshop will lead participants step-by-step in the process of training and deploying a deep learning model into […]
GirlsCoding is back at Applied Machine Learning Days! Last year, we learned a lot and we had a lot of fun! […]
We introduce methodologies for explaining predictions of machine learning/ deep learning models using sensitivity analysis and mathematical algorithms. By exploring […]
Intelligent voice assistants do not require compromising privacy! In this workshop, you will discover Snips’ environment and the best practices […]
There is an exponential increase in the volume and variety of geo- and environmental data coming from different sources, including […]
Machine Learning is transforming the media landscape. This applies to the creation of content as well as the analysis of […]
Can AI help us make cities and metropolitan regions more sustainable, livable and equitable? The “Smart Cities” movement hails AI […]
In most countries in the world, the healthcare sector is either the largest or fastest growing economic sector. The effect […]
Mariam Nouh is currently a DPhil student at the Center for Doctoral Training in Cyber Security, University of Oxford. Her […]
This track intends to present some of the latest innovative applications of AI/ML in nutrition science and the food industry. Given […]