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[N] Deconstruct how Google Tulip was built by using serverless tech and machine learning

This is a 35 minute talk from GOTO Amsterdam 2019 by some of the team who helped build Google tulip: Christiaan Hees, Matt Feigal and Lee Boonstra.

https://www.youtube.com/watch?v=Gv5stbV7XT8&feature=youtu.be&list=PLEx5khR4g7PKT9RvuVyQxJLO8CZUJzNMy

I’ve dropped in the talk abstract below for a read before jumping into the talk:

This is a 35 minute talk from GOTO Amsterdam 2019 by some of the team who helped build Google tulip: Christiaan Hees, Matt Feigal and Lee Boonstra. Check out the full talk abstract below:

How to compose an application of multiple serverless components. Training an ML model for your needs with minimal training data and applying it in your application.

What will the audience learn from this talk?
How to compose an application of multiple serverless components. Training an ML model for your needs with minimal training data, and applying it in your application. Building and running your code in serverless Knative Using Dialogflow to power user conversations.

Does it feature code examples and/or live coding?
It features live demos of our components and end product. We’ll show code and run scripts to train ML models and deploy our code.

submitted by /u/mto96
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.