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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Applied Machine Learning Days 2019
DTSTART;VALUE=DATE:20190126
DTSTAMP:20260429T060622Z
UID:2d308c63630696b2ce95e5f764ce84ad33bbdc1c41310f8651fc01ed
CATEGORIES:Conferences - Seminars
DESCRIPTION:See our workshop sessions\, the 16 featured tracks and the lis
 t of speakers.\nThe Applied Machine Learning Days will take place from Jan
 uary 26th to 29th\, 2019\, at the Swiss Tech Convention Center on EPFL ca
 mpus. It is now the largest and best-known Machine Learning event in Switz
 erland\, and increasingly recognized as a major event in Europe. The event
  has a focus specifically on the applications of machine learning and AI\
 , making it particularly interesting to industry and academia.\n\nSaturday
  & Sunday will be ‘hands-on’ with more than 25 workshops\, tutorials\,
  trainings\, coding classes and hackathons. The main conference will take 
 place on Monday and Tuesday\, with a program featuring amazing speakers\, 
 16 domain-specific tracks (parallel session)\, poster sessions\, a job fai
 r and a special night with Garry Kasparov.\n\nSpeakers:\n- Garry Kasparov 
 (Chess Grandmaster) \n- Zeynep Tufekci (The New York Times) \n- Jeff Dea
 n (Google) \n- Katja Hofmann (Microsoft Research) \n- Antoine Bordes (Fa
 cebook AI Research) \n- Alex "Sandy" Pentland (MIT Media Lab) \n- Yuan (
 Alan) Qi (Ant Financial) \n- Yuanchun Shi (Tsinghua University) \n- Li P
 u (Segway Robotics) \n- Christopher Bishop (Microsoft Research) \n- Evge
 niy Gabrilovich (Google) \n- crowdAI winners\n\nWorkshops:\nHands-on deep
  learning with TensorFlow.js / Policy-Making and Data Economy at the city
  level: utopia or reality? / Applied Language Technologies / Engineering
  for good - detecting pneumonia in X-Ray images / Advances in ML: Theory 
 meets practice / AI and Healthcare / Industrial open data / Building Pr
 ivate-by-Design Voice Assistants with Snips / Trust In AI - methods and u
 se cases for debiasing and explaining of algorithms / Using PySpark and i
 nteractive Jupyter notebook on Amazon Clusters / Tutorial: Build your fir
 st predictive model to forecast and detect anomalies / ML in your organiz
 ation: a practical toolbox to identify and seize highest value opportuniti
 es in Machine Learning / PySpark: Big Data Processing and Machine Learnin
 g with Python / Enabling Resilience with Remote Sensing / Artificial Cur
 iosity: Intrinsic Motivation in Machines too! / Reatching into the Rabbit
  Hole: Should we replace teachers with AI? / Machine Learning for fake ne
 ws detection: theory and practice / TensorFlow Basics - Saturday / Tenso
 rFlow Basics - Sunday / Learning and Processing over Networks / Crashcou
 rse in R for machine learning / Machine Learning Competition: Tennis Pred
 iction / Applied Machine Learning for Anomaly Detection on Equipment / C
 redit Suisse Document Digitization Hackathon / TDA crash course: theory a
 nd practice for ML applications / Data exploration and preparation for Ma
 chine Learning / Machine Learning in Finance / Blue Brain Nexus\, a know
 ledge graph for data driven projects\n\nTracks:\n• AI & Cities\n• AI &
  Computer Systems\n• AI & Environment\n• AI & Finance\n• AI & Health
 \n• AI & Industry\n• AI & Intellectual Property\n• AI & Language\n
 • AI & Learning Analytics\n• AI & Media\n• AI & the Molecular World\
 n• AI & Networks\n• AI & Nutrition\n• AI & Society\n• AI & Transpo
 rtation\n• AI & Trust\n\nRegistration is mandatory and includes breakfa
 st\, coffee breaks\, lunch and refreshments.
LOCATION:Swiss Tech Convention Center https://appliedmldays.org/events/aml
 d-epfl-2022/venue
STATUS:CONFIRMED
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