Welcome to this week’s newsletter! Take a trip on an ML pipeline and check out Matthew Filbert’s blog, Entity Resolution in Reagent. How his team arrived at specific problem modeling and algorithms are interesting topics as is the pipeline walkthrough, from selection of ML type and data preprocessing to training the model and making predictions.
Also recommend Artem Ryasik’s blog, ArtGraph Cluster Analysis, for its detailed explanations of knowledge graph analytics and use of clustering algorithms.
Cheers,Yolande Poirier
COMING UP NEXT WEEK!
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- LiveStream: Discovering AuraDB Free with Michael & Alexander on July 17, 2023.
- Sydney Meetup: Exploring Power of Connected Data on July 20, 2023.
- All Neo4j Events: Webinar, Live demos, and More.
- GraphSummit Series: Get Connected With Graphs.
FEATURED NODES SPEAKER: Ajmal Aziz
Ajmal Aziz is a Senior Solutions Engineer at Databricks. Prior to joining Databricks, he was at the University of Cambridge researching Graph Neural Networks. He spends most of his weekends combining his passions for distributed data processing and machine learning. Connect with him on LinkedIn
In his NODES 2022 presentation, Neo4j and Databricks demonstrate a reference architecture that leverages each other’s strengths in connected data and big data to ingest, transform, analyse, and present insights. Watch his talk!
KNOWLEDGE GRAPH: ArtGraph Cluster Analysis
Artem Ryasik departs from his previous graph analysis theme of a biomedical graph, to consider a graph of artists and their works. ArtGraph was developed to classify style and genre using a combination the image itself with the context of the artwork and its creator.INTERVIEW: Understanding Graph Databases With Neo4j
Watch this video interview to see a clear presentation of Neo4j technology, customer use cases, and integration with Google Cloud. Ben Lackey, Neo4j Cloud Partner Architecture Team, is interviewed by Debi Cabrera, Developer Advocate at Google.TUTORIAL: Exploring Graph Database With Neo4j DB and Docker Desktop
TOOL: Entity Resolution in Reagent
INTRODUCTION: Graph Data Science
TWEET OF THE WEEK: @lyonwj
? The latest episode of the https://t.co/DA95UmHqXv podcast is one of our best yet! ?️
— William Lyon (@lyonwj) June 28, 2023
This time @akollegger @JMHReif @alison_cossette and I dive deep into Graph Data Science and how @Neo4j fits into the world of generative AI and LLMshttps://t.co/CmAcRtx1Vn
Don’t forget to share it if you like it!
