In this, the final episode of our Strata Data Conference series, we’re joined by Zachary Hanif, Director of Machine Learning at Capital One’s Center for Machine Learning.
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Zach led a session at Strata called “Network effects: Working with modern graph analytic systems,” which we had a great chat about back in New York. We start our discussion with a look at the role of graph analytics in the machine learning toolkit, including some important application areas for graph-based systems. We continue with an overview of the different ways to implement graph analytics, with a particular emphasis on the emerging role of what he calls graphical processing engines which excel at handling large datasets. We also discuss the relationship between these kinds of systems and probabilistic graphical models, graphical embedding models, and graph convolutional networks in deep learning.
Thanks to our Sponsors!
Thanks to Capital One and Cloudera for their continued support of the podcast and their sponsorship of this series.
At the NIPS Conference in Montreal this December, researchers from Capital One will be co-hosting a workshop focused on Challenges and Opportunities for AI in Financial Services and the Impact of Fairness, Explainability, Accuracy, and Privacy. A call for papers is open now through October 25, for more information or submissions, visit twimlai.com/c1nips. A limited number of full NIPS Conference tickets are also available for accepted speakers (one full-price ticket only, applied directly to the accepted speaker),and will be made available along with author notifications on Oct 29, 2018.
Cloudera’s modern platform for machine learning and analytics, optimized for the cloud, lets you build and deploy AI solutions at scale, efficiently and securely, anywhere you want. In addition, Cloudera Fast Forward Lab’s expert guidance helps you realize your AI future, faster. To learn more, visit Cloudera’s Machine Learning resource center at cloudera.com/ml.
Mentioned in the Interview
- Frank McSherry – Timely-Dataflow
- Frank McSherry Scalability Blog Post
- Pregel: A System for Large-Scale Graph Processing
- Apache Giraph
- Neo4j Graph Language
- Apache tinkerpop (Gremlin)
- AWS Neptune
- Cassandra 2.0
- Strata Data Conference Series Page
- TWIML Presents: Series page
- TWIML Events Page
- TWIML Meetup
- TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0