Sessions

ML Conference 2019
The Conference for Machine Learning Innovation
June 17 - 19 | Munich

Evolution 3.0: Solve your everyday problems with genetic algorithms

Mey Beisaron, Appsflyer

Can UX demystify AI?

Ward Van Laer, Ixor

Honey bee conservation using deep learning

Thiago da Silva Alves, JArchitects
Jean Metz, JArchitects

Debugging and visualizing TensorFlow programs with images

Muzahid Hussain, Dassault Systems

Towards meaningful AI

Imola Fodor, Electrolux

How do chess engines work? Looking at Stockfish and AlphaZero

Oliver Zeigermann, embarc

Dealing with data issues in natural language processing: All that glitters

Yves Peirsman, NLP Town

Machine learning models: Solving issues in production and beyond

Paul Dubs, Paul Dubs IT Consulting

Predicting New York City taxi demand: Spatio-temporal time series forecasting

Fabian Hertwig, MaibornWolff GmbH

Mining software development history: Approaches and challenges

Vadim Markovtsev, source{d}

Does deep learning make feature engineering obsolete?

Vladimir Rybakov, WaveAccess

Deep learning advances for signal processing

Oleksandr Honchar, Mawi Solutions / self-employed

How we used reinforcement learning to solve the Abbey of Crime

Juantomás Garcia Molina, S|ngular

How to implement chatbots in an industrial context

Dr. Christoph Windheuser, ThoughtWorks Inc.

Productionizing machine learning models: Lessons learned in the Hadoop ecosystem

Steffen Bunzel, Alexander Thamm GmbH
Simon Weiß, Alexander Thamm GmbH

Deep probablistic modelling with Pyro

Chi Nhan Nguyen, itemis

Reinforcement learning: A gentle introduction & industrial application

Dr. Christian Hidber, bSquare AG

Embedded ML for continued product leadership in global machine and plant construction

Peter Seeberg, asimovero.AI

Unsupervised learning with autoencoders

Christoph Henkelmann, DIVISIO

The Data Janitor Returns

Daniel Molnar, Shopify/Oberlo

Machine Learning mit Small Data

Hauke Brammer, Novatec Consulting GmbH

Some Things I Wish I Had Known About Scaling Machine Learning Solutions

Jesus Rodriguez, Invector Labs