Program

ML Conference 2020
The Conference for Machine Learning Innovation
March 24 - 26 | Singapore

Program Singapore 2020

Session Type Icon

Machine Learning in the Browser

Athan Reines, Quansight
Session Type Icon

Future of HR: Implementation of RPA and AI in HR processes using Python and Tensorflow.

Prof. Raul Rodríguez, Woxsen School of Business
Session Type Icon

Case Studies: Machine Learning in Web Applications

Athan Reines, Quansight
Session Type Icon

Doing More with Less: Building Machine Learning Solutions without large labeled Datasets

Jesus Rodriguez, Invector Labs
Session Type Icon

Playing Doom with TF-Agents and TensorFlow 2.0

Andreas Eberle, arconsis IT-Solutions GmbH
Session Type Icon

Using Neural Networks for Natural Language Processing

Christoph Henkelmann, DIVISIO
Workshop Type Icon

Machine Learning 101++ using Python

Dr. Pieter Buteneers, Chatlayer.ai
Session Type Icon

Scaling Machine Learning Systems up to Billions of Predictions per Day

Carmine Paolino, OLX Group
Session Type Icon

Applying Machine Learning online at Scale

Jon Bratseth, Verizon
Session Type Icon

Towards the convenient ML Infra

Vadim Markovtsev, source{d}
Session Type Icon

NLU in Other Languages

Burak Isikli, Turkcell
Shorttalk Type Icon

Everything you need to know about Security Issues in today’s ML Systems

David Glavas, Technical University of Munich (TUM)
Session Type Icon

Some Things I wish I had known about Scaling Machine Learning Solutions

Jesus Rodriguez, Invector Labs
Session Type Icon

Speeding up last-mile Delivery with AI

Samar Singla, Jungleworks
Shorttalk Type Icon

Using Machine Learning for Property Mapping in the OTA Industry

Truc Le, Agoda Company Pte. Ltd.
Session Type Icon

Predictive Maintenance – how does Data Science revolutionize the World of Machines?

Victoriya Kalmanovich, Navy
Session Type Icon

Real Machine Learning challenges that you’ve never faced at Kaggle

Vladimir Rybakov, WaveAccess
Workshop Type Icon

Essential Workshop to Exploratory Data Analysis and Feature Engineering

Aleksandr Mester, WaveAccess
Vladimir Rybakov, WaveAccess
Session Type Icon

Multi Tasking Deep Learning for Natural Language Processing – Transfer Learning

Debjyoti Paul, Amazon
 

ML Conference Mobile App

The ML Conference app simplifies the preparation before and during the conference:

  • People who don’t have a ticket yet, can also purchase it from the app
  • Participants get all the information on the schedule and can customize their program individually
  • All information about the speakers
  • “Information”: here you can find the location and room plan and can give feedback on the conference
  • Fast access to Twitter
  • All partners and sponsors at a glance
google-play-1    . appstore_logo_black