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 JavaFX series, and Java with Raspberry Pi. As an Pivotal Developer Advocate, James speaks internationally at software technology conferences about Java and Cloud Native development. James tweets as @JavaFXpert, blogs at http://JavaFXpert.com and http://CulturedEar.com and may be reached at jweaver [at] pivotal.io
The term "machine learning" is increasingly bandied about in corporate settings and cocktail parties, but what is it, really? In this session we'll answer that question, providing an approachable overview of machine learning concepts, technologies, and use cases. We'll then take a deeper dive into machine learning topics such as supervised learning, unsupervised learning, and deep learning. We'll also survey various machine learning APIs and platforms. You'll be the hit of your next party when you're able to express the near-magical inner-workings of artificial neural networks!