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Meet machine learning experts in Munich

ML Conference Munich super early bird offer ends March 5

JAXenter Editorial Team
Machine Learning

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 Munich ends on March 5, so why not take a look?

ML Conference Munich will take place from June 17-19, 2020. While the very early bird offer still stands, you can save more than €500 and get ML Intro Day for free with a 2-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 – Munich, Berlin and Singapore. Munich makes the start, with the conference taking place in June.

Machine Learning

Check out the conference page for more information.

MLCon very early bird discount offers savings of more than €500. Very early bird registration ends on March 5, 2020. Plus, there’s also a few great extras included for those who strike while the iron is hot!

  • ML Intro Day for free: Buy a 2-Day Pass and receive the ML Intro Day for free.
  • 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 ssuessenberger@sandsmedia.com.

ML Conference Munich tracks

The tracks are:

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

ML Conference Munich program

The program is now online, and here are some highlights you can choose to attend:

AI with a devops mindset – experimentation, sharing and easier ML deployment – Thiago de Faria

An Introduction to Natural Language Generation – Christoph Henkelmann

Protecting AI Solutions From Attacks – Alexander Polyakov

Predicting Hotel Cancellations With Machine Learning: Classification and Time Series Analysis – Michael Grogan

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