From Graph to Knowledge Graph - Algorithms and Applications Training

Live Online & Classroom Enterprise Training

A complete overview of graph theory algorithms in computer science and mathematics.

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What is From Graph to Knowledge Graph - Algorithms and Applications Training about?

This course introduces the fundamental concepts and tools for modelling large-scale and knowledge graphs. You will learn various techniques to build applications that use charts and knowledge graphs. These techniques range from traditional data analysis and mining methods to emerging deep learning and embedding approaches.

What are the objectives of From Graph to Knowledge Graph - Algorithms and Applications Training ?

Understand various testing types and usage scenarios
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

Who is From Graph to Knowledge Graph - Algorithms and Applications Training for?

Anybody ready for a deep dive into graph theory

What are the prerequisites for From Graph to Knowledge Graph - Algorithms and Applications Training?

Advanced math skills Basic programming skills
Fundamental knowledge of machine learning and deep learning techniques

Available Training Modes

Live Online Training

15 Hours

Self-Paced Training

15 Hours

Course Outline Expand All

Expand All

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

Who is the instructor for this training?

The trainer for this From Graph to Knowledge Graph - Algorithms and Applications Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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