The 4 steps of Android Machine Learning

Hoi Lam

Developer Relations Lead, Android Machine Learning

Google

In this talk we will go through the four stages of Android Machine Learning: Design, Find the ML model, Build a ML model, and Implementing ML functionality in your Android app. We will talk about the latest development in ML tooling from ML Kit, Android platform and TensorFlow, and tips on getting the most out of these tools.

Hoi leads Developer Relations for Android Machine Learning and also a sector executive for the Institution of Engineering and Technology (IET). He was part of the launch team for Wear OS by Google (previously, Android Wear), Chromecast, Google Glass Enterprise Edition, and the Google Beacon Platform. Prior to Google, he founded Exahive to disrupt the mobile commerce market place. Hoi was an Equity Research VP at Deutsche Bank and Citigroup covering technology companies. Before banking, he was a product manager / application architect at Accenture. Hoi holds a Master and Bachelor degree in Space Engineering from the University of Cambridge.

droidcon Americas is produced by:

Mobile Seasons GmbH (droidcon Global HQ)

Messedamm 22

14055, Berlin

Germany

.droidcon is a registered Trademark of Mobile Seasons GmbH

  • dc-social
  • Twitter - White Circle
  • Facebook - White Circle