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

In this session, James Weaver will give a gentle introduction to machine learning topics such as supervised learning, unsupervised learning, reinforcement learning, & deep learning. Hell also give you an overview of what you can achieve with machine learning, as well as an intuition on the math behind it.

The presenter is very aware that some material on machine learning can be math-intensive, & off-putting if you are not confident with your calculus. Conversely, some material doesnt go into enough detail so you dont get a feel for how things actually work. This session will start right at the beginning with the basics, & 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.

Speaker Bio:

James Weaver (@JavaFXpert) is a Java developer, author, & speaker with a passion for helping Java to be increasingly leveraged in rich-client & and cloud-native applications. James has written books including Inside Java, Beginning J2EE, the Pro JavaFX series, & Java with Raspberry Pi. As an Advocate & Principal Technologist, James speaks internationally at software technology conferences about Java & Cloud Native development.