Applied Machine Learning Days 2019

The Applied Machine Learning Days will take place from January 26^th to 29^th, 2019, at the Swiss Tech Convention Center on EPFL campus. It is now the largest and best-known Machine Learning event in Switzerland, 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.

Saturday & 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 fair and a special night with Garry Kasparov.

Speakers:
- Garry Kasparov (Chess Grandmaster) 
- Zeynep Tufekci (The New York Times) 
- Jeff Dean (Google) 
- Katja Hofmann (Microsoft Research) 
- Antoine Bordes (Facebook AI Research) 
- Alex "Sandy" Pentland (MIT Media Lab) 
- Yuan (Alan) Qi (Ant Financial) 
- Yuanchun Shi (Tsinghua University) 
- Li Pu (Segway Robotics) 
- Christopher Bishop (Microsoft Research) 
- Evgeniy Gabrilovich (Google) 
- crowdAI winners

Workshops:
Hands-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 Private-by-Design Voice Assistants with Snips / Trust In AI - methods and use cases for debiasing and explaining of algorithms / Using PySpark and interactive Jupyter notebook on Amazon Clusters / Tutorial: Build your first predictive model to forecast and detect anomalies / ML in your organization: a practical toolbox to identify and seize highest value opportunities in Machine Learning / PySpark: Big Data Processing and Machine Learning with Python / Enabling Resilience with Remote Sensing / Artificial Curiosity: Intrinsic Motivation in Machines too! / Reatching into the Rabbit Hole: Should we replace teachers with AI? / Machine Learning for fake news detection: theory and practice / TensorFlow Basics - Saturday / TensorFlow Basics - Sunday / Learning and Processing over Networks / Crashcourse in R for machine learning / Machine Learning Competition: Tennis Prediction / Applied Machine Learning for Anomaly Detection on Equipment / Credit Suisse Document Digitization Hackathon / TDA crash course: theory and practice for ML applications / Data exploration and preparation for Machine Learning / Machine Learning in Finance / Blue Brain Nexus, a knowledge graph for data driven projects

Tracks:
• AI & Cities
• AI & Computer Systems
• AI & Environment
• AI & Finance
• AI & Health
• AI & Industry
• AI & Intellectual Property
• AI & Language
• AI & Learning Analytics
• AI & Media
• AI & the Molecular World
• AI & Networks
• AI & Nutrition
• AI & Society
• AI & Transportation
• AI & Trust

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