Loading…
GraphConnect 2018 has ended
Back To Schedule
Thursday, September 20 • 5:10pm - 5:25pm
Machine Learning Algorithms in Neo4j

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Tweet Share
Feedback form is now closed.
With user-defined procedures there is unlimited potential for analysis of graph data in Neo4j.
As you move from relational to graph database, you need not leave your most trusted statistical methods behind. Linear and logistic regression can be implemented with updating formulas so that the data and design of the model is as flexible as the graph database itself. We will demonstrate that a price predictor, built with linear regression, is a seamless addition to a graph database that contains short term housing rental data from Austin, TX.
Speakers
avatar for Lauren Shin

Lauren Shin

Developer Relations, Neo4j
Lauren is excited to help facilitate the graph developer community as a student intern at Neo4j. Her studies at UC Berkeley lie in the intersection between math and computer science and she is passionate about increasing the accessibility of technical knowledge to all learners. The... Read More →

Thursday September 20, 2018 5:10pm - 5:25pm
6. Wilder
  Neo4j Session, AI and Machine Learning
  • TAGS AI and Machine Learning
  • VIDEO VShG7GFrZlo
  • SLUG machine-learning-algorithms-in-neo4j