Featured Post

The Definitive Guide to Building a Predictive Model in Python

Predictive modeling is one of the most fundamental tasks of a data scientist, and you’ll encounter it in nearly every job and industry in the field. Keeping your knowledge and skills up-to-date is essential to driving efficiencies and revenue at your company. In this article, you'll... read more


Predictive Modeling Techniques: Types, Benefits & Algorithms

With the immense amount of data being generated daily, organizations are drawn to advanced analytics, data science, machine learning, and AI to drive better forecasting, more accurate predictions, and truly novel innovations. But many businesses fail to reap these benefits. Instead, they... read more


10 Ideas to Inspire Your Graph Genius at NODES 2023

Developers and data scientists, do you have a creative graph-powered project or cool graph technique? Here’s your invitation to present it at NODES 2023, the free 24-hour online conference where the community gathers to learn the latest in graph-driven innovation. This is the perfect way... read more


Zach Probst

This Week in Neo4j: OSS Dependencies, Workspace, LLM, Streaming Graph Data, and More

Welcome to the newsletter! This week, Michael Hunger graphs open-source software dependencies, an important use case within software analytics for graph databases. See the video below and read the linked blog "Analyzing Software Dependencies With deps.dev" for more information. Also in the news:... read more


Celebrating Neo4j’s Recognition as a Global Top 100 Most Loved Workplace

At Neo4j our mission is to help the world make sense of data. Our core values, which place relationships at the foundation and employees at the heart of our operations, have guided us in this mission. Today, we are thrilled to announce that these values have led to Neo4j being recognized as a... read more


Featured-Dinesh-Venkatesan

This Week in Neo4j: Advanced Cypher, Data Analysis, Graphyx, GraphQL APIs, and More

Welcome to this week's newsletter! Blogger Pankaj Wahane presents some essential Cypher features for data analysis. For aggregations in Cypher, he covers SUM, AVG, MIN/MAX, and COLLECT; for counting, there's the COUNT function in Cypher to retrieve data. In the category of complex queries, he... read more