13 au 15 mars, 2019
Montréal, Canada
Graph Algorithms: Predict Real-World Behavior
Learn how graph algorithms can help you predict real-world behavior and why an averages approach fails. Find out which algorithms to apply for various types of data analysis. This will come alive through a live demo, where we look at what kinds of decisions you can make based on results from different algorithms. From this session, you will gain the knowledge to recognize whether you have a graph analytics problem and how you can get started.
Jennifer Reif
Neo4j
Jennifer Reif is a Developer Advocate at Neo4j, speaker, and blogger with an MS in CMIS. An avid developer and problem-solver, she has worked with many businesses and projects to organize and make sense of widespread data assets and leverage them for maximum business value. She has expertise in a variety of commercial and open source tools, and she enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.
Montréal 2019 sponsored by
