Sessions

ML Conference 2018
The Conference for Machine Learning Innovation
December 5 - 7 in Berlin

Sessions ML Conference December 2018

DAY 1
05. Dec 2018
10:15 - 11:15

AI for Business – Experiences and Benchmarks

Ulrich Bodenhausen, Ulrich Bodenhausen AI Coaching
10:15 - 11:15

An Introduction to Clustering Algorithms

Christoph Henkelmann, DIVISIO
11:30 - 12:30

Forecasting: Machine Learning vs Classical Statistics – Which path to choose?

Philipp Beer, sciScry
11:30 - 12:30

Machine Learning in the Browser

Athan Reines, stdlib
11:30 - 12:30

Build smarter apps with Machine Learning, from magic to reality

Laurent Picard, Google
14:30 - 15:30

Too many ideas, too little data – How to overcome the cold start problem when building data driven products and services

Markus Nutz, freeyou AG
Thomas Pawlitzki, freeyou AG
16:00 - 17:00

Search: The Silver Bullet of Symbolic AI and the Secret of AlphaGo Zero

Oliver Zeigermann, embarc
17:15 - 18:15

How we built a job recommender SaaS with Deep Learning to disrupt the job market!

Laurent Sorber, radix.ai
DAY 2
06. Dec 2018
09:00 - 10:00

Text classification and NLP on star wars characters

Natalie Beyer, Lavrio.solutions
09:00 - 10:00

Parameter Servers Suck, All Hail Horovod: Distributed Learning Technology Overview

Ruksi Laine, Valohai
10:30 - 11:30

Man & Machines: The Dreamteam for your intelligent Marketing Strategy

Kathleen Jaedtke, HubSpot
Tina Nord, EyeEm
10:30 - 11:30

Deep Recommendation Systems for real Personalization

SK Reddy, Hexagon
11:45 - 12:45

Deeplearning4J by Example

Paul Dubs, Paul Dubs IT Consulting
14:45 - 15:45

Helping Pacman beat the ghosts with deep Q learning

Marc Päpper, ProAdly
16:15 - 17:15

10 Things I Wish I Had Known Before Scaling Deep Learning Solutions

Jesus Rodriguez, Invector Labs
16:15 - 17:15

Why robotics is HARD.

Xander Steenbrugge, ML6