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VERSION:2.0
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BEGIN:VEVENT
SUMMARY:Applied Machine Learning Days 2018
DTSTART;VALUE=DATE:20180127
DTSTAMP:20260429T142915Z
UID:7374ca083c4bb86b2666749984e72bcad1fc58f6c2682217748e3977
CATEGORIES:Conferences - Seminars
DESCRIPTION:See our workshop sessions and the list of speakers.\nThe A
 pplied Machine Learning Days will take place from January 27th to 30th\, 
 2018\, at the Swiss Tech Convention Center on EPFL campus. It is one of th
 e largest machine learning & AI events in Europe\, focused specifically on
  the applications of machine learning and AI\, making it particularly inte
 resting to industry and academia.\n\nSaturday & Sunday will be hands-on\, 
 with workshops\, trainings\, a hackathon and tutorials. The main conferenc
 e will take place on Monday and Tuesday\, with a program featuring top-le
 vel speakers\, a Networking Dinner\, Poster Sessions and a Job Fair.\n\nSp
 eakers:\n- Christopher Bishop (Microsoft)\n- Joanna Bryson (Universities 
 of Bath & Princeton)\n- Soumith Chintala (Facebook)\n- Raia Hadsell (Dee
 pMind)\n- Jeremiah Harmsen (Google)\n- Frédéric Kaplan (EPFL)\n- Amnon S
 hashua (Mobileye\, Hebrew University of Jerusalem)\n- Martin Vetterli (EP
 FL)\n- Olga Russakovsky (Princeton University)\n- CrowdAI winners\n\nWorks
 hops:\nOpen Food Hackdays 2018 / Machine Learning for News: Theory\, Appli
 cations 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 Advance
 d Manufacturing and Materials Science / Spatial Data Science with Open Dat
 a and Social Media / Unsupervised Learning in Brain-Computer Interfaces: T
 heory and Practice / "Reatching" into the rabbithole: Should we replace po
 liticians with algorithms? / Modeling timeseries and sequence data on AWS 
 using Apache MXNet and Gluon / Applied Machine Learning for Anomaly Detect
 ion / Business Cases and Value Proposition for Applied Machine Learning - 
 Is there a real value-add in a business context? / Girlscoding: Teaching C
 omputers How to Think / Artificial Intelligence for Artists\n\nRegistratio
 n is mandatory and includes breakfast\, coffee breaks\, lunch and refresh
 ments.
LOCATION:Swiss Tech Convention Center https://appliedmldays.org/events/aml
 d-epfl-2018/venue
STATUS:CONFIRMED
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