Mittwoch, 09:15 Uhr

KEYNOTE: Machine Learning for Web Developers

AI and machine learning are the gateway to building more accessible applications and solving problems in a creative way.

For a very long time machine learning algorithms could only be coded using Python and R and could only run on the server side, on powerful, dedicated machines. But with the rise of Javascript and democratization of the field we can now either use powerful APIs that do all the hard work for us or even train and run our own models in the browser using libraries like tensorflow.js or brain.js.

The bar for tinkering with machine learning is no longer that high so let's have a look at how we can give it a go!

Simona Cotin
(Microsoft)
@simona_cotin

Simona is a web developer with a passion for teaching. She spends most of her time tinkering with JavaScript in the cloud and sharing her experience with other developers at community events like meetups and conferences or online. As a Cloud Developer Advocate, Simona engages with the web community to help create a great developer experience with Azure. She loves shipping code to production and has built network data analytics platforms using Angular, Typescript, React, and Node.