Justin is a Data Scientist in the MapR Professional Services group. Justin has experience in a number of data areas ranging from counter narcotics to cyber intrusion analysis. In past projects, he has utilized machine learning, econometrics, graph analytics and agent-based modeling to fulfill the customer needs. He has a undergraduate degree in Economics from Va Tech, a Masters in Economics from Johns Hopkins University and a Masters in Computational Social Science from George Mason University.
Blog Posts by Justin Brandenburg
August 02, 2018 | By Justin Brandenburg
Markov Decision Processes Using Custom PySpark UDFs
Policies that lead to optimal outcomes for an organization are some of the most difficult challenges facing decision makers within an organization. The reason for it is the fact that policies are not made in a world with perfect information and markets...Read more
March 14, 2018 | By Justin Brandenburg
Streaming Predictive Maintenance for IoT using TensorFlow - Part 2
Editor's Note: Read part 1 of this post here. This is Part 2 of a two-part series that describes how to apply a recurrent neural network (RNN) for time series prediction on real-time data generated by a sensor attached to a device on a manufacturing...Read more
February 26, 2018 | By Justin Brandenburg
Streaming Predictive Maintenance for IoT using TensorFlow - Part 1
Editor's Note: Read part 2 of this post here. This is Part 1 of a two-part series that will describe how to apply an RNN for time series prediction on real-time data generated from a sensor attached to a device that is performing a task along a manufacturing...Read more
June 10, 2017 | By Justin Brandenburg
Applying Deep Learning to Time Series Forecasting with TensorFlow
Editor's Note: This is the fourth installment in our blog series about deep learning. In this series, we will discuss the deep learning technology, available frameworks/tools, and how to scale deep learning using big data architecture. Read Part 1...Read more
August 15, 2016 | By Justin Brandenburg
Tutorial: Using PySpark and the MapR Sandbox
PySpark is a Spark API that allows you to interact with Spark through the Python shell. If you have a Python programming background, this is an excellent way to get introduced to Spark data types and parallel programming. PySpark is a particularly flexible...Read more
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