KDnuggets

AUGUST 18, 2023

"You may also like" is a simple phrase that implies a new era in the way businesses interact and connect with their customers, and graph databases can easily help to build recommendation engines.

Database 86

Database Building Engineering Data Engineering 86

KDnuggets

OCTOBER 23, 2023

Discover how Graph of Thoughts aims to revolutionize prompt engineering, and LLMs more broadly, enabling more flexible and human-like problem-solving.

Engineering 97

Engineering 97

KDnuggets

NOVEMBER 21, 2022

Take Soccer Analytics to the Next Level with Graph Theory: Here’s What to Know and How to Do It.

IT 117

IT Data Science Data 117

KDnuggets

DECEMBER 20, 2022

Use the hundreds of charts made on Python Graph Gallery to help you make your visualization.

Python 107

Python 107

Data Engineering Podcast

MAY 8, 2022

These connections are best represented and analyzed as graphs to provide efficient and accurate analysis of their relationships. TigerGraph is a leading database that offers a highly scalable and performant native graph engine for powering graph analytics and machine learning. Start trusting your data with Monte Carlo today!

Database 100

Database Data Lake BI Business Intelligence 100

KDnuggets

FEBRUARY 10, 2022

This article is an excerpt from the book Machine Learning with PyTorch and Scikit-Learn is the new book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.

Machine Learning 87

Machine Learning Python 87

KDnuggets

AUGUST 8, 2019

Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.

Machine Learning 123

Machine Learning Data 123

Data Engineering Podcast

APRIL 6, 2020

Summary Knowledge graphs are a data resource that can answer questions beyond the scope of traditional data analytics. In this episode John Maiden talks about how Cherre builds knowledge graphs that provide powerful insights for their customers and the engineering challenges of building a scalable graph.

Building 100

Building Big Data Machine Learning Python 100

Towards Data Science

JULY 13, 2023

A step-by-step guide to creating a knowledge graph and exploring its potential to enhance an LLM Continue reading on Towards Data Science »

Structured Data 63

Structured Data Data Science Data IT 63

LinkedIn Engineering

JUNE 2, 2023

Since its inception in 2015, the Economic Graph Research and Insights (EGRI) team has worked to make this vision a reality by generating labor market insights such as: Real-time economic and workforce intelligence & insights. We currently address over 50 requests for our data and insights per month.

Building 75

Building Banking Datasets Media 75

Netflix Tech

JUNE 15, 2022

Since we index the data as-is from the federated graph, the indexing query itself acts as self-documentation. Hydration through Federation Given the wide adoption of the federated gateway within Content Engineering, we decided to implement the Studio Search service as a DGS ( Domain Graph Service ) that integrated with the federated gateway.

Engineering 73

Engineering Accessible Accessibility Architecture 73

KDnuggets

AUGUST 2, 2022

The article contains all the concepts to understand Graph Neural Networks(GNNs).

Machine Learning 81

Machine Learning 81

KDnuggets

SEPTEMBER 10, 2019

In this post, I am going to be talking about some of the most important graph algorithms you should know and how to implement them using Python.

Algorithm 120

Algorithm Python Data Data Science 120

know.bi

JUNE 29, 2022

This guide will teach you the process of exporting data from a relational database (MySQL) and importing it into a graph database (Neo4j). You will learn how to take data from the relational system and to the graph by translating the schema and using Apache Hop as import tools.

MySQL 52

MySQL Relational Database Database Data 52

Data Engineering Podcast

AUGUST 19, 2018

For a substantial number of use cases, the optimal format for storing and querying that information is as a graph, however databases architected around that use case have historically been difficult to use at scale or for serving fast, distributed queries. The graph space is becoming crowded in recent years.

Database 100

Database PostgreSQL NoSQL Transportation 100

KDnuggets

MARCH 24, 2020

In this article, we’ll talk about calibration in graph machine learning, and how it can help to build trust in these powerful new models.

Machine Learning 75

Machine Learning Building IT 75

KDnuggets

AUGUST 23, 2019

Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs.

Coding 123

Coding Python 123

KDnuggets

DECEMBER 18, 2019

features significant technology improvements to enable simpler and faster graph navigation, including GraphQL interfaces to make it easier for application developers to access knowledge graphs without tedious development of back-end APIs or complex SPARQL. Ontotext Platform 3.0

Accessible 58

Accessible Accessibility Technology IT 58

KDnuggets

SEPTEMBER 11, 2019

Follow this demonstration using state-of-the-art graph neural network models to detect hateful users based on their activities on the Twitter social network. Online hate speech is a complex subject.

Machine Learning 96

Machine Learning 96

KDnuggets

DECEMBER 10, 2019

Graph machine learning is a developing area of research that brings many complexities. One challenge that both fascinates and infuriates those working with graph algorithms is — scalability.

Machine Learning 59

Machine Learning Algorithm Deep Learning IT 59

Data Engineering Podcast

SEPTEMBER 30, 2018

The team at Enigma builds a knowledge graph for use in your own data projects. In this episode Chris Groskopf explains the platform they have built to consume large varieties and volumes of public data for constructing a graph for serving to their customers. How do you define the concept of a knowledge graph?

Building 100

Building Data Lake AWS Machine Learning 100

Netflix Tech

FEBRUARY 3, 2021

By Paul Bakker and Kavitha Srinivasan , Images by David Simmer , Edited by Greg Burrell Netflix has developed a Domain Graph Service (DGS) framework and it is now open source. Federation allows services to share a unified graph exposed by a gateway. Our framework is battle-hardened by our use at scale.

Java 98

Java Architecture Coding Designing 98

Data Engineering Podcast

OCTOBER 15, 2021

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. The DataHub project was created as a way to bring order to the scale of LinkedIn’s data needs.

Metadata 100

Metadata BI Data Warehouse Government 100

KDnuggets

JANUARY 13, 2020

This article explores the challenges of designing an interface that enables users to visualise and interact with insights from graph machine learning, and explores the very new, uncharted relationship between machine learning and UX. It can also be difficult for development teams to establish meaningful direction.

Machine Learning 65

Machine Learning Designing Technology IT 65

Confluent

AUGUST 29, 2019

If you’ve found yourself needing to write very large JOIN statements or dealing with long paths through your data, then you are probably facing a graph problem. Looking at your data as a graph pays off tremendously when the connections between individual data items are as valuable as the items themselves. 8, and so on. Here we go!

Kafka 55

Kafka Process Algorithm Cloud 55

databricks

JANUARY 26, 2023

This is a collaborative post from Databricks and wisecube.ai. We thank Vishnu Vettrivel, Founder, and Alex Thomas, Principal Data Scientist, for their contributions.

Data Lake 110

Data Lake Building Data 110

KDnuggets

NOVEMBER 26, 2021

Learn to use custom Named Entity Recognition and Relation Extraction models.

Building 154

Building 154

Analytics Vidhya

FEBRUARY 28, 2023

From understanding graph data science to learning about computer vision and exploring the latest machine learning […] The post Hurry Up and Book DataHour’s Latest March Sessions appeared first on Analytics Vidhya.

Machine Learning 209

Machine Learning Data Science Data Data Engineering 209

Data Engineering Podcast

OCTOBER 15, 2023

Instead of being subjected to a bunch of buzzword bingo, hear directly from pioneers in the developer and data science space on how they use graph tech to build AI-powered apps. NODES Conference Logo]([link] NODES 2023 is a free online conference focused on graph-driven innovations with content for all skill levels.

Process 182

Process Building SQL BI 182

KDnuggets

SEPTEMBER 30, 2022

Create manageable and scalable machine learning workflows with skdag.

Machine Learning 106

Machine Learning Management 106

Data Engineering Podcast

OCTOBER 22, 2023

Instead of being subjected to a bunch of buzzword bingo, hear directly from pioneers in the developer and data science space on how they use graph tech to build AI-powered apps. NODES Conference Logo]([link] NODES 2023 is a free online conference focused on graph-driven innovations with content for all skill levels.

BI 162

BI SQL Machine Learning Programming Language 162

Data Engineering Podcast

OCTOBER 8, 2023

Instead of being subjected to a bunch of buzzword bingo, hear directly from pioneers in the developer and data science space on how they use graph tech to build AI-powered apps. NODES Conference Logo]([link] NODES 2023 is a free online conference focused on graph-driven innovations with content for all skill levels.

Insurance 162

Insurance BI SQL Machine Learning 162

Data Engineering Podcast

OCTOBER 1, 2023

Instead of being subjected to a bunch of buzzword bingo, hear directly from pioneers in the developer and data science space on how they use graph tech to build AI-powered apps. NODES Conference Logo]([link] NODES 2023 is a free online conference focused on graph-driven innovations with content for all skill levels.

Building 162

Building BI SQL Machine Learning 162

Waitingforcode

JANUARY 30, 2024

Previously you could read about transformation of a user job definition into an executable stream graph. Since this explanation was relatively high-level, I decided to deep dive into the final step executing the code.

Coding 130

Coding 130

Uber Engineering

JANUARY 16, 2019

In this article, Lau discusses his path to Uber and the technical challenges faced while building his internship project as … The post Aarhus Engineering Internship: Building Aggregation Support for YQL, Uber’s Graph Query Language for Grail appeared first on Uber Engineering Blog.

Engineering 75

Engineering Building Project Programming Language 75

KDnuggets

MAY 20, 2022

We give a taxonomy of the trustworthy GNNs in privacy, robustness, fairness, and explainability. For each aspect, we categorize existing works into various categories, give general frameworks in each category, and more.

Machine Learning 110

Machine Learning 110