ML Conference is coming to Singapore

ML Conference Singapore very early bird offer ends January 23

JAXenter Editorial Team
ML Conference

ML Conference gives you the opportunity to learn about the latest machine learning tools and technologies, including TensorFlow 2.0, machine learning in the browser, deep learning and NLP. Seasoned ML experts will share insights on how to understand your data, optimize your models and more. The very early bird discount for ML Conference Singapore ends on January 23, so why not take a look?

ML Conference Singapore will take place from March 24-26, 2020. While the very early bird offer still stands, you can save up to $310 USD and get a free gift with your 3-day pass as well as a 10% team discount for registering 3+ colleagues.

This year, ML Conference will take place three times in different locations across the world. The usual suspects Munich and Berlin will of course be on the agenda, but now Singapore is also on the cards, meaning we’re bringing ML Conference to a second continent in 2020.

ML Conference

Check out the conference page for more information.

MLCon very early bird discount offers savings up to $310. Very early bird registration ends on January 23, 2020. Plus, there’s also a few great extras included for those who strike while the iron is hot!

  • Raspberry Pi or C64 Mini: Register for a 3-day pass and choose between a Raspberry Pi or C64 Mini.
  • Team Discount: Register 3+ colleagues and get 10 % off!
  • Extra Special: Freelancers and employees of scientific institutions receive individual special conditions – please send us an email to [email protected]

ML Conference Singapore tracks

The tracks are:

  • Advanced ML Development
  • Machine Learning Business & Strategy
  • Machine Learning Principles
  • Tools, APIs & Frameworks

ML Conference Singapore program

The full program is not yet annnounced, but you can take a look at some of the highlights that are already online:

Machine Learning in the Browser – Athan Reines

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

Playing Doom with TF-Agents and TensorFlow 2.0 – Andreas Eberle

Using Neural Networks for Natural Language Processing – Christoph Henkelmann

Applying Machine Learning online at Scale – Jon Bratseth

There’s still more to come, so stay tuned! Keep an eye on for more.

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