Linkedin Learning – Data Science Foundations Knowledge Graphs

Linkedin Learning – Data Science Foundations Knowledge Graphs-XQZT
English | Size: 118.77 MB
Category: Tutorial


Improve your handling of information with knowledge graphs. This course covers knowledge graph tools, as well as how to network your databases and build a digital knowledge base
The term “knowledge graph” describes a semantic search based on the systematic compilation and processing of data and was first coined by Google. Leading internet companies have been using knowledge graphs for several years to present information that is tailored to customers’ needs. You can also use knowledge graphs to map your company’s internal knowledge and improve search results. Knowledge graphs can also improve the results of AI or machine learning systems. In this course, blockchain technology leader Daniel Burgwinkel explains what knowledge graphs are, offers examples and use cases, gives you practical recommendations on how to implement knowledge graphs, and shows you how to build a knowledge base. This course is aimed at data stewards, digital transformation managers, and data scientists who are responsible for data stocks and knowledge management.

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Linkedin.Learning.Data.Science.Foundations.Knowledge.Graphs-XQZT

Title: Data Science Foundations: Knowledge Graphs
Publisher: Linkedin Learning
Category: N/A
Size: 122M
Files: 3F
Date: 2021-07-29
Course #: 2883051
Published: Linkedin.Learning
Updated: N/A
Author: Daniel Burgwinkel
Duration: 0:31:12
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