April DJUG: Machine Learning Exposed

The April DJUG meeting will be at Lawrence Technological University in Southfield, Michigan. We have reserved the Mary E. Marburger Science and Engineering Auditorium (room S100) so enter the Science Building and look for room S100.

Topic: Machine Learning Exposed

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. We'll also survey various machine learning APIs and platforms. James will give you an overview of what you can achieve, as well as an intuition on the maths behind machine learning.

Speaker Bio

The speaker for this meeting is James Weaver, coming in from the Fort Wayne, Indiana area.

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James 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 (http://javafxpert.com/) and http://CulturedEar.com (http://culturedear.com/) and may be reached at jweaver [at] pivotal.io (http://pivotal.io/)