https://github.com/brianspiering/knowledge-graph-workshop

1-day workshop on knowledge graphs (KG): Learn the theory and hands-on coding
https://github.com/brianspiering/knowledge-graph-workshop

Last synced: 8 days ago
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1-day workshop on knowledge graphs (KG): Learn the theory and hands-on coding

• Host: GitHub
• URL: https://github.com/brianspiering/knowledge-graph-workshop
• Owner: brianspiering
• Created: 2023-03-06T19:50:07.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-05-07T14:57:20.000Z (over 1 year ago)
• Last Synced: 2023-08-01T03:24:21.077Z (over 1 year ago)
• Size: 1.95 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
Knowledge Graph Workshop

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1-day workshop on knowledge graphs (KG). Learn both the theory and get hands-on experience building KGs

Overview

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Knowledge graphs (KGs) are one of the most powerful ways to organize information by modeling the complex relationships. KGs are used by leading tech companies (e.g. Google, Amazon, Meta, etc.) to build "magical" data-driven products for their users. Examples include making product recommendations and enabling semantic search.

This course will introduce learners to knowledge graphs and equip them with the ability to create knowledge graphs in Python. 

Objectives

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By the end of this workshop, learners should be able to:

- Explain how knowledge graphs can automatically learn the structure of unstructured data.

- Define knowledge graphs terminology, such as nodes, edges, subjects, predicates, and objects.

- Build and apply knowledge graphs to text data.

Outline

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1. Introduction to unstructured data

1. What are Knowledge Graphs (KG)?

1. Examples of KG

1. Common KG terminology

1. How Knowledge Graphs are used in Artificial Intelligence (AI),  Machine Learning (ML), and Artificial Intelligence (AI)

1. Hands-on building of KGs in Python

1. Using KGs with large language models (LLM) 

[Contact here for availability and pricing](mailto:[email protected])