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Program
Timetable
Machine Learning Business & Strategy
Machine Learning Tools & Principles
Machine Learning Advanced Development
More Program
Complete Program
Sessions
Workshops
Keynotes
Speakers
Archive
Tickets
Blog
Info
Location
Hotel Booking
Newsletter
Organiser
Conference App
Advisory Board
Code of Conduct
Terms and privacy
Contact Us
Sponsorship & Expo
Become a Sponsor
Sponsors & Exhibitors
Register Now »
Program
ML Conference 2019
The Conference for Machine Learning Innovation
June 17 - 19 | Munich
More program will follow soon
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Machine Learning Advanced Development
Machine Learning Business & Strategy
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Join the ML Revolution!
Special Discount
Register till March 7
and get the Workshop Day for free
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Register with 3+ colleagues
and get 10% off!
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LEGEND
Keynote
Session
Shorttalk
Workshop
Ward Van Laer
Can UX demystify AI?
Ward Van Laer
,
Ixor
Yves Peirsman
Dealing with data issues in natural language processing: All that glitters
Yves Peirsman
,
NLP Town
Muzahid Hussain
Debugging and visualizing TensorFlow programs with images
Muzahid Hussain
,
Dassault Systems
Oleksandr Honchar
Deep learning advances for signal processing
Oleksandr Honchar
,
Mawi Solutions / self-employed
Chi Nhan Nguyen
Deep probablistic modelling with Pyro
Chi Nhan Nguyen
,
itemis
Vladimir Rybakov
Does deep learning make feature engineering obsolete?
Vladimir Rybakov
,
WaveAccess
Peter Seeberg
Embedded ML for continued product leadership in global machine and plant construction
Peter Seeberg
,
asimovero.AI
Mey Beisaron
Evolution 3.0: Solve your everyday problems with genetic algorithms
Mey Beisaron
,
Appsflyer
Thiago da Silva Alves
Jean Metz
Honey bee conservation using deep learning
Thiago da Silva Alves
,
JArchitects
Jean Metz
,
JArchitects
Oliver Zeigermann
How do chess engines work? Looking at Stockfish and AlphaZero
Oliver Zeigermann
,
embarc
Dr. Christoph Windheuser
How to implement chatbots in an industrial context
Dr. Christoph Windheuser
,
ThoughtWorks Inc.
Juantomás Garcia Molina
How we used reinforcement learning to solve the Abbey of Crime
Juantomás Garcia Molina
,
S|ngular
Dr. Pieter Buteneers
Machine Learning 101++ using Python
Dr. Pieter Buteneers
,
Robovision
Hauke Brammer
Machine Learning mit Small Data
Hauke Brammer
,
Novatec Consulting GmbH
Paul Dubs
Machine learning models: Solving issues in production and beyond
Paul Dubs
,
Paul Dubs IT Consulting
Vadim Markovtsev
Mining software development history: Approaches and challenges
Vadim Markovtsev
,
source{d}
Fabian Hertwig
Predicting New York City taxi demand: Spatio-temporal time series forecasting
Fabian Hertwig
,
MaibornWolff GmbH
Steffen Bunzel
Simon Weiß
Productionizing machine learning models: Lessons learned in the Hadoop ecosystem
Steffen Bunzel
,
Alexander Thamm GmbH
Simon Weiß
,
Alexander Thamm GmbH
Dr. Christian Hidber
Reinforcement learning: A gentle introduction & industrial application
Dr. Christian Hidber
,
bSquare AG
Jesus Rodriguez
Some Things I Wish I Had Known About Scaling Machine Learning Solutions
Jesus Rodriguez
,
Invector Labs
Daniel Molnar
The Data Janitor Returns
Daniel Molnar
,
Shopify/Oberlo
Imola Fodor
Towards meaningful AI
Imola Fodor
,
Electrolux
Christoph Henkelmann
Unsupervised learning with autoencoders
Christoph Henkelmann
,
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Machine Learning Advanced Development
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Join the ML Revolution!
Special Discount
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Register with 3+ colleagues
and get 10% off!
Register Now
LEGEND
Keynote
Session
Shorttalk
Workshop
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