Bộ sách luyện thi ETS 2023 LC&RC
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299,000₫
Sách Building Knowledge Graphs A Practitioner’s Guide (sách keo gáy, bìa mềm)
Thể loại:Computers - Organization and Data Processing
Năm:2023
In lần thứ:1
Nhà xuát bản:O’Reilly Media
Ngôn ngữ:english
Trang:291
Incredibly useful, knowledge graphs help organizations keep track of
medical research, cybersecurity threat intelligence, GDPR compliance,
web user engagement, and much more. They do so by storing interlinked
descriptions of entities—objects, events, situations, or abstract
concepts—and encoding the underlying information. How do you create a
knowledge graph? And how do you move it from theory into production?
Using
hands-on examples, this practical book shows data scientists and data
engineers how to build their own knowledge graphs. Authors Jesús Barrasa
and Jim Webber from Neo4j illustrate common patterns for building
knowledge graphs that solve many of today’s pressing knowledge
management problems. You’ll quickly discover how these graphs become
increasingly useful as you add data and augment them with algorithms and
machine learning.
- Learn the organizing principles necessary to build a knowledge graph
- Explore how graph databases serve as a foundation for knowledge graphs
- Understand how to import structured and unstructured data into your graph
- Follow examples to build integration-and-search knowledge graphs
- Learn what pattern detection knowledge graphs help you accomplish
- Explore dependency knowledge graphs through examples
- Use examples of natural language knowledge graphs and chatbots
- Use graph algorithms and ML to gain insight into connected data
