Applied Machine Learning Days 2018

The Applied Machine Learning Days will take place from January 27^th to 30^th, 2018, at the Swiss Tech Convention Center on EPFL campus. It is one of the largest machine learning & AI events in Europe, focused specifically on the applications of machine learning and AI, making it particularly interesting to industry and academia.

Saturday & Sunday will be hands-on, with workshops, trainings, a hackathon and tutorials. The main conference will take place on Monday and Tuesday, with a program featuring top-level speakers, a Networking Dinner, Poster Sessions and a Job Fair.

Speakers:
- Christopher Bishop (Microsoft)
- Joanna Bryson (Universities of Bath & Princeton)
- Soumith Chintala (Facebook)
- Raia Hadsell (DeepMind)
- Jeremiah Harmsen (Google)
- Frédéric Kaplan (EPFL)
- Amnon Shashua (Mobileye, Hebrew University of Jerusalem)
- Martin Vetterli (EPFL)
- Olga Russakovsky (Princeton University)
- CrowdAI winners

Workshops:
Open Food Hackdays 2018 / Machine Learning for News: Theory, Applications and Visualisation in Python / Machine Learning with Go / The Data Ring: A canvas for Data Project / Discovering Brain Structure with Machine Learning / Financial Predictions with Machine Learning / Machine Learning Reproducibility at Scale using Open Source Tooling / Crash course in Deep Learning and PyTorch / Tensorflow Basics / Machine Learning meets Advanced Manufacturing and Materials Science / Spatial Data Science with Open Data and Social Media / Unsupervised Learning in Brain-Computer Interfaces: Theory and Practice / "Reatching" into the rabbithole: Should we replace politicians with algorithms? / Modeling timeseries and sequence data on AWS using Apache MXNet and Gluon / Applied Machine Learning for Anomaly Detection / Business Cases and Value Proposition for Applied Machine Learning - Is there a real value-add in a business context? / Girlscoding: Teaching Computers How to Think / Artificial Intelligence for Artists

Registration is mandatory and includes breakfast, coffee breaks, lunch and refreshments.