Name: Spark ML - Machine Learning Hands On w/ Matt Der
Start: 2016-06-21T18:00:00-04:00
End: 2016-06-21T21:00:00-04:00
Location: WORK Studios

Spark ML - Machine Learning Hands On

MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.

Notch CTO, Matt Der, will continue the RVA Data Hackers Apache Spark conversations by diving into the machine learning module. Machine learning is one of the hottest emerging technology topics across industries and Apache Spark continues to gain momentum in the distributed computing space. Matt will talk through code with some applied examples in real time with the audience.
We will also look at how the module has matured from operating on native RDDs in Spark to DataFrames, using Pipelines; a concept that borrows heavily from scikit-learn.

About Matt

Matt Der holds a PhD in Machine Learning from UCSD. Also during his time in California, he worked for Google's Internal Privacy team in 2011 and 2012. Following the completion of his degree, Matt moved back to Richmond, Virginia to take the Chief Technology Officer position at Notch to advance the company's capability in data science and machine learning.

About Data Hackers

RVA Data Hackers is a community of programmers who meet regularly to develop skills and learn about the tools and techniques of Big Data. We discuss how to find, organize, understand and serve data sets large and small. We'll cover anything related to 'big data' -- machine learning, artificial intelligence and architectures to scale Big Data for the Internet. If you're a programmer interested in machine learning algorithms and managing big data, this group is for you. Topics vary from basic concepts to demonstrations of real-world implementations and everything in between. Our mission is to foster a local community of experienced, practicing experts. We're here to have fun, share and learn about an exciting field of computer science.

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Peter Fries

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