Knowledge Graphs Knowledge Graphs
Adaptive Computation and Machine Learning series

Knowledge Graphs

Fundamentals, Techniques, and Applications

Mayank Kejriwal et autres
    • 30,99 €
    • 30,99 €

Description de l’éditeur

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence.

The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

GENRE
Informatique et Internet
SORTIE
2021
30 mars
LANGUE
EN
Anglais
LONGUEUR
568
Pages
ÉDITIONS
MIT Press
DÉTAILS DU FOURNISSEUR
Random House, LLC
TAILLE
32,2
Mo
Semantic Systems. The Power of AI and Knowledge Graphs Semantic Systems. The Power of AI and Knowledge Graphs
2019
Knowledge Graphs and Big Data Processing Knowledge Graphs and Big Data Processing
2020
Language Technologies for the Challenges of the Digital Age Language Technologies for the Challenges of the Digital Age
2018
Linked Open Data -- Creating Knowledge Out of Interlinked Data Linked Open Data -- Creating Knowledge Out of Interlinked Data
2014
Artificial Intelligence and Cognitive Science Artificial Intelligence and Cognitive Science
2023
Beautiful Data Beautiful Data
2009
Artificial Intelligence for Industries of the Future Artificial Intelligence for Industries of the Future
2022
Domain-Specific Knowledge Graph Construction Domain-Specific Knowledge Graph Construction
2019
Deep Learning Deep Learning
2016
Probabilistic Machine Learning Probabilistic Machine Learning
2022
Foundations of Computer Vision Foundations of Computer Vision
2024
Learning Theory from First Principles Learning Theory from First Principles
2024
Veridical Data Science Veridical Data Science
2024
Fairness and Machine Learning Fairness and Machine Learning
2023