ML Conference 2019

Mon, 17 Jun 2019, 09:00 AM (CEST)
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Wed, 19 Jun 2019, 05:00 PM (CEST)
Register until: Wed, 19 Jun 2019, 05:00 PM (CEST)
Sheraton Munich Arabellapark HotelMunich, GermanyOpen in Google Maps
ML Conference – The Conference for Machine Learning Innovation | Register now!
UNDERSTAND YOUR DATA
Making sense of your data is becoming key for every modern predictive business. At ML Conference you will develop a deep understanding of your data, as well as of the latest tools and technologies.

OPTIMISE YOUR MODELS
Learn from seasoned experts which methods, libraries, services, models and algorithms to use and, crucially, hear their war stories of training cutting edge machine learning algorithms.

ENHANCE YOUR BUSINESS
Make machine learning central to your business model: join ML Conference to gain key knowledge and skills for this new era of data driven business.
UNDERSTAND YOUR DATA
Making sense of your data is becoming key for every modern predictive business. At ML Conference you will develop a deep understanding of your data, as well as of the latest tools and technologies.

OPTIMISE YOUR MODELS
Learn from seasoned experts which methods, libraries, services, models and algorithms to use and, crucially, hear their war stories of training cutting edge machine learning algorithms.

ENHANCE YOUR BUSINESS
Make machine learning central to your business model: join ML Conference to gain key knowledge and skills for this new era of data driven business.

Schedule

THE PROGRAM IS ONLINE!
Check out the program: https://mlconference.ai/program/

Here's an excerpt from the program:

  • Can UX demystify AI? (Ward Van Laer, Ixor)
  • How do chess engines work? Looking at Stockfish and AlphaZero (Oliver Zeigermann, embarc)
  • How we used reinforcement learning to solve the Abbey of Crime (Juantomás Garcia Molina, S|ngular)
  • Towards meaningful AI (Imola Fodor, Electrolux)
  • Mining software development history: Approaches and challenges (Vadim Markovtsev, source{d})
  • Evolution 3.0: Solve your everyday problems with genetic algorithms (Mey Beisaron, Appsflyer)
  • Deep probablistic modelling with Pyro (Chi Nhan Nguyen, itemis)
  • Dealing with data issues in natural language processing: All that glitters (Yves Peirsman, NLP Town)
  • Honey bee conservation using deep learning (Thiago Alves, JArchitects & Jean Metz, JArchitects)

Check out the full program here: https://mlconference.ai/program/

Beginners as well as advanced participants can put together an individual program from over 35 sessions, keynotes and power workshops from the following tracks:

  • Machine Learning Business & Strategy
  • Machine Learning Tools & Principles
  • Machine Learning Advanced Development