Da: SpringBooks, Berlin, Germania
EUR 22,01
Quantità: 1 disponibili
Aggiungi al carrelloSoftcover. Condizione: Very Good. unread, some shelfwear.
Da: SpringBooks, Berlin, Germania
Prima edizione
EUR 24,16
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 65,64
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: SpringBooks, Berlin, Germania
Prima edizione
EUR 43,88
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: As New. 1. Auflage. unread, like new - will be dispatched immediately.
Condizione: New. pp. VIII, 138 49 illus., 31 illus. in color. 2020th edition NO-PA16APR2015-KAP.
Da: Studibuch, Stuttgart, Germania
EUR 17,67
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Gut. 505 Seiten; 9783030080075.3 Gewicht in Gramm: 1.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 70,24
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
EUR 69,20
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Springer International Publishing AG, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 91,57
Quantità: 3 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: New York : Sotheby's, 1989, 1989
Da: Joseph Valles - Books, Stockbridge, GA, U.S.A.
Soft cover. Condizione: Fine. No Jacket. 1 v. (unpaged) : ill. ; 27 cm. ; Sale code: 5948 WU BIN/ Place of sale: New York ; OCLC: 171301984 ; color photographic stiff paper wrappers ; prices realized laid in ; features works by Zhao Mengfu, Wu Zhen, Zhao Yong, Yang Weizhen, Shen Zhou, Lu Ji, Zhang Lu, Tang Yin, Zhan Ruoshui, Wen Zhengming, Zhu Yunming, Wang Chong, Xie Shichen, Wen Jia, Qian Gu, Zhou Tianqiu, Wu Bin, Song Moujin, Chen Jiayan, Li Liufang, Zhang Kunlin, Dong Qichang, Chen Jiru, Zhao Zuo, Zhao Zun, Jiang Ai, Li Shida, Shang Maoye, Chen Guan, Wang Weilie, Zhang Ruitu, Huang Daozhou, Ni Yuanhu, Xiao Yuncong, Lan Ying, Zhang Feng, Wang Jian, Wang Shimin, Gu Jianlong, Wang Wu, Zha Shibiao, Gong Xian, Ma Futu, Yun Shouping, Luo Mu, Zu Da (Bada Shanren), Daoji, Chen Yixi, Sun Yi, Yu Zhiding, Wang Yuanqi, Wang Gai, Wang Hui, Ma Quan, Xu Bin, Qing Shengzu ; FINE. Book.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 101,85
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 91,56
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Chiron Media, Wallingford, Regno Unito
EUR 95,24
Quantità: 3 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 104,77
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 98,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Majestic Books, Hounslow, Regno Unito
EUR 107,97
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. 2018 ed. 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 108,33
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Buchpark, Trebbin, Germania
EUR 14,64
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 508 | Sprache: Englisch | Produktart: Bücher | 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 105,55
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: California Books, Miami, FL, U.S.A.
EUR 125,16
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing Jun 2018, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -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. 508 pp. Englisch.
Da: Speedyhen, Hertfordshire, Regno Unito
EUR 82,55
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: NEW.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2018
ISBN 10: 3319904027 ISBN 13: 9783319904023
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 133,18
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2018 ed. 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.