Machine Learning Exposed: The Fundamentals || Enterprise Platform Cognition

By: | September 1, 2017

Please join us on September 12th for the next Colorado CF Meetup!   We have two great speakers discussing the evolution of machine learning and IOT. 

James Weaver  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.

Kyle Dunn Data is the new gold and platforms are an abundant source of this increasingly-important resource. This talk will demonstrate the immense value available from a reference architecture designed for surfacing proactive, cognitive-like capabilities from data in the logging systems. The tech stack consists of a transactional, in-memory layer coupled to an analytical data warehouse. The result: shorter developer debugging cycles, insights like “What are the most common Java classes in my stack traces?”, and a dynamic, visual microservice dependency graph. Each of these examples serves to introduce powerful feedback into application and platform lifecycles, improving an organization’s productivity, infrastructure resiliency, and even security.

Will discuss design patterns to enable business initiatives spanning streaming data, deep analytics, and reactive applications.  Google, Amazon, and Microsoft each have capitalized on their people and monetized their internal data to create “public” versions.  Learn how to replicate this approach in-house.  


James Weaver (@JavaFXpert): 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

Kyle Dunn works professionally as a Data Engineer for Pivotal Software, based in Denver, Colorado, USA. His professional background spans electric utility engineering, distributed systems/HPC, and more recently, RDBMS and data-driven workflows for enterprises. He earned a Bachelors of Science in Electrical Engineering from the University of Colorado, Denver, with academic publications ranging from heterogeneous cloud computing to direct current bus protection schemes. Find him on Twitter (@kdunn926) and LinkedIn (


Metered parking is available in limited quantities but there are pay lots available after 5PM across from the office and in the parking garage next door.

We look forward to seeing you there September 12th!