Read Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)

Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)

Unknown Author

4.9/5 (10175 ratings)

Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series). To get started finding Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 0262045095

Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series). To get started finding Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)

Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)

More Books