San Diego Java User's Group

6:30 -	Equipment setup and mixer - Food Provided by: Pivotal
7:00 -	Meeting begins, announcements
7:15 -	Speaker: James Weaver
7:50 -	Short Break
8:00 -	Speaker: James Weaver
9:00 -	Drawings - final announcements Meeting Ends, tear down, mixer
9:30 -	Official Stop

Speaker: James Weaver

Title: Machine Learning Exposed: The Fundamentals

Abstract: 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 will give a gentle introduction to machine learning topics such as supervised learning, unsupervised learning, reinforcement learning, and deep learning. He’ll also give you an overview of what you can achieve with machine learning, as well as an intuition on the maths behind it.

The presenter is 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. This session 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.

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