From Graph to Knowledge Graph – Algorithms and Applications (edX)

From Graph to Knowledge Graph – Algorithms and Applications (edX)
Course Auditing
Categories
Effort
Certification
Languages
Advanced math skills. Basic programming skills. Fundamental knowledge on machine learning and deep learning techniques. Skills equivalent to the following course on big data analysis
Misc
From Graph to Knowledge Graph – Algorithms and Applications (edX)
Learn the fundamental algorithms and theories used for understanding large-scale graphs and knowledge graphs. Many real-world datasets come in the form of graphs. These datasets include social networks, biological networks, knowledge graphs, the World Wide Web, and many more. Having a comprehensive understanding of these networks is essential to truly understand many important applications.

This course introduces the fundamental concepts and tools used in modeling large-scale graphs and knowledge graphs. You will learn a spectrum of techniques used to build applications that use graphs and knowledge graphs. These techniques range from traditional data analysis and mining methods to the emerging deep learning and embedding approaches.


What you'll learn

- Explore large-scale networks with different structures and properties;

- Learn graph representations using advanced deep learning and embedding techniques;

- Utilize NLP fundamentals to build knowledge graphs;

- Use knowledge graphs in modern search applications;

- Model knowledge graphs using embedding methods.


Course Syllabus


Module 1: Introduction and Overview

Module 2: Graph Properties and Applications

Module 3: Graph Representation Learning

Module 4: Knowledge Graph Fundamentals and Construction

Module 5: Knowledge Graph Inference and Applications



Course Auditing
99.00 USD
Advanced math skills. Basic programming skills. Fundamental knowledge on machine learning and deep learning techniques. Skills equivalent to the following course on big data analysis