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From Graph to Knowledge Graph – Algorithms and Applications
Yuxiao Dong,
Iris Shen,
and
Hao Ma
Yuxiao Dong,
Iris Shen,
and
Hao Ma
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Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teachers spectrum of techniques utilized in building applications that employ graphs and knowledge graphs
Introduces foundational concepts and tools employed in the modeling of large-scale graphs and knowledge graphs
Taught by seasoned professional Yuxiao Dong, Iris Shen, and Hao Ma
Establishes important principles in the field of Graph Modeling and Knowledge Graph technology
Examines concepts and methods that are essential for understanding the nature of real-world datasets
Explores practices that are applicable to a range of industries and use cases
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Career center
Learners who complete From Graph to Knowledge Graph – Algorithms and Applications will develop knowledge and skills
that may be useful to these careers:
Knowledge Engineer
Knowledge Engineer
Knowledge Engineers design, build, and maintain knowledge-based systems. This course may be useful if you wish to enter this career and could be particularly useful for building your understanding of how to build applications that use graphs and knowledge graphs.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software systems. This course may be useful if you wish to enter this career and could be particularly useful for building your understanding of how to build applications that use graphs and knowledge graphs, including deep learning and embedding approaches.
Software Architect
Software Architect
Software Architects design and build software systems. This course may be useful if you wish to enter this career and could be particularly useful for building your understanding of how to build applications that use graphs and knowledge graphs, including deep learning and embedding approaches.
Web Developer
Web Developer
Web Developers design, build, and maintain websites and web applications. This course may be useful if you wish to enter this career and could be particularly useful for building your understanding of how to build applications that use graphs and knowledge graphs, including deep learning and embedding approaches.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning systems. This course may be useful if you wish to enter this career and could be particularly useful for building your understanding of how to build applications that use graphs and knowledge graphs, including deep learning and embedding approaches.
Software Developer
Software Developer
Software Developers design, build, and maintain software systems. This course may be useful if you wish to advance your career by building your understanding of modeling large-scale graphs and knowledge graphs.
Knowledge Manager
Knowledge Manager
Knowledge Managers are responsible for identifying, capturing, organizing, and disseminating knowledge within an organization. This course may be useful if you wish to advance your career by building your understanding of modeling large-scale graphs and knowledge graphs, as well as how to build applications that use graphs and knowledge graphs.
System Administrator
System Administrator
System Administrators are responsible for the maintenance and security of computer systems. This course may be useful if you wish to advance your career by building your understanding of modeling large-scale graphs and knowledge graphs.
Network Administrator
Network Administrator
Network Administrators are responsible for the planning, implementation, and maintenance of computer networks. This course may be useful if you wish to advance your career by building your understanding of modeling large-scale graphs and knowledge graphs.
Information Architect
Information Architect
Information Architects design and build the structure and organization of websites, intranets, and other online information systems. This course may be useful if you wish to advance your career by building your understanding of modeling large-scale graphs and knowledge graphs, as well as how to build applications that use graphs and knowledge graphs.
Database Administrator
Database Administrator
Database Administrators ensure that the data within a database is accurate and secure. This course may be useful if you wish to advance your career by building foundational understanding of modeling large-scale graphs and knowledge graphs.
Information Technology Project Manager
Information Technology Project Manager
IT Project Managers are responsible for planning, directing, and coordinating the implementation and maintenance of information systems. This course may be useful if you wish to advance your career by building your understanding of modeling large-scale graphs and knowledge graphs.
Data Scientist
Data Scientist
Data Scientists apply scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. This course may be useful if you want to build your understanding of how to build applications that use graphs and knowledge graphs, including deep learning and embedding approaches.
Product Manager
Product Manager
Product Managers are responsible for the planning, development, and marketing of products. This course may be useful for building a foundational understanding of data analysis and mining.
Data Analyst
Data Analyst
Data Analysts use knowledge of data analysis software and techniques to interpret large amounts of data to look for trends and patterns. This course may be useful if you want to build your foundational understanding of data analysis and mining.
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Time
1200 hours
Level
Introductory
Via
edX
Institution
Microsoft
Instructors
Yuxiao Dong
Iris Shen
Hao Ma
Good to know
Teachers spectrum of techniques utilized in building applications that employ graphs and knowledge graphs
Introduces foundational concepts and tools employed in the modeling of large-scale graphs and knowledge graphs
Taught by seasoned professional Yuxiao Dong, Iris Shen, and Hao Ma
Establishes important principles in the field of Graph Modeling and Knowledge Graph technology
Examines concepts and methods that are essential for understanding the nature of real-world datasets
Explores practices that are applicable to a range of industries and use cases
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