Sessions

ML Conference 2019
The Conference for Machine Learning Innovation
December 9 - 11 | Berlin

Sessions

Understanding how neural networks work by looking at the low level API of TensorFlow 2

Oliver Zeigermann, embarc

Dockerize, Standardize, Deploy and Scale your own Machine Learning Model

Jens Beyer, LAVRIO.solutions Beyer ML UG

Continuous Delivery for Machine Learning Applications with Open Source Tools

Daniel Schruhl, ThoughtWorks Germany
Christoph Windheuser, ThoughtWorks Germany

Privacy Preserving Machine Learning

Nicolas Kuhaupt, Fraunhofer IEE

Client-side Artificial Intelligence in JavaScript using Tensorflow.js

Mathias Burger, TNG Technology GmbH

Generative Media – an Emerging Industry.

Xander Steenbrugge, ML6

The Development of (Deep) Reinforcement Learning

Dr. Andreas Bühlmeier, Dr. Bühlmeier Consulting

Case Study: Making the Most out of a Doomed Project

Vladimir Rybakov, WaveAccess

From Paper to Product – How we implemented BERT

Christoph Henkelmann, DIVISIO

Speeding up last-mile delivery with AI

Samar Singla, Jugnoo

Delivering Rocketfuel – Pipelines für Deep Learning mit Small Data

Hauke Brammer, Novatec Consulting GmbH

Predictive Maintenance – How Does Data Science Revolutionize the World of Machines?

Victoriya Kalmanovich, Navy

Deep learning: the final frontier for time series analysis?

Oleksandr Honchar, Neurons Lab / Mawi Solutions

AI Is Eating Software – How Second Generation AutoML Will Replace Software Development

Prof. Adam Blum, Auger.AI

Honey Bee Conservation using Deep Learning

Thiago da Silva Alves, JArchitects
Jean Metz, JArchitects