Human and Machine Learning

Visible, Explainable, Trustworthy and Transparent

Nonfiction, Computers, Advanced Computing, Programming, User Interfaces, Artificial Intelligence, General Computing
Cover of the book Human and Machine Learning by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319904030
Publisher: Springer International Publishing Publication: June 7, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319904030
Publisher: Springer International Publishing
Publication: June 7, 2018
Imprint: Springer
Language: English

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.

This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.

This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.

This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.

This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

More books from Springer International Publishing

Cover of the book High-Voltage Test and Measuring Techniques by
Cover of the book Agent-Based Modelling of Social Networks in Labour–Education Market System by
Cover of the book The Basic Environmental History by
Cover of the book Disassembly Automation by
Cover of the book Intelligent Robotics and Applications by
Cover of the book REWAS 2019 by
Cover of the book Neglected Tropical Diseases - South Asia by
Cover of the book Contemporary Encounters in Gender and Religion by
Cover of the book You’re Wrong, I’m Right by
Cover of the book Machine Learning for Networking by
Cover of the book Progress in Partial Differential Equations by
Cover of the book Psychology of Perception by
Cover of the book Qualitative and Quantitative Analysis of Nonlinear Systems by
Cover of the book Social Robots from a Human Perspective by
Cover of the book Children and Screen Media in Changing Arab Contexts by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy