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16th - 17th March 2017
Cineplexx Wienerberg, Wienerbergstraße, Vienna, Austria
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Friday, March 17 • 11:20 - 12:10
Machine Learning Exposed: Introduction to Machine Learning

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In the age of quantum computing, computer chip implants and artificial intelligence, it’s easy to feel left behind. For example, the term "machine learning" is increasingly bandied about in corporate settings and cocktail parties, but what is it, really?

In this session, James Weaver and Katharine Beaumont will give a gentle introduction to machine learning topics such as supervised learning, unsupervised learning, reinforcement learning, and deep learning. We'll also survey various machine learning APIs and platforms. We’ll give you an overview of what you can achieve, as well as an intuition on the maths behind machine learning.
The presenters are very aware that some material on machine learning can be maths-intensive, and off-putting if you are not confident with your calculus. Conversely, some material doesn’t go into enough detail so you don’t get a feel for how things actually work. We aim to give the session we wish we’d attended at the start of our journey: We will start right at the beginning with the basics, and build up in an approachable way to some of the most interesting techniques so you can get the most out of your machine learning adventure.

Speakers
avatar for Katharine Beaumont

Katharine Beaumont

Katharine is a Java developer by trade, turned Community & Content Manager for Voxxed: working on spreading knowledge and building communities.
avatar for James Weaver

James Weaver

James Weaver is a Java developer, author, and speaker with a passion for helping Java to be increasingly leveraged in cloud-native and machine learning applications. He is a Java Champion, and a JavaOne Rockstar. James has written books including Inside Java, Beginning J2EE, the Pro... Read More →


Friday March 17, 2017 11:20 - 12:10 CET
Room 9