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Artificial intelligence for data sci...

Alloghani, Mohamed.

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Artificial intelligence for data science in theory and practice

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence for data science in theory and practice/ edited by Mohamed Alloghani, Christopher Thron, Saad Subair.
其他作者:	Alloghani, Mohamed.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xvi, 246 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Part I: Government services -- Intelligent chat bots for online customer service -- Improved services delivery using AI -- Intelligent policing: physical crime and cybercrime prevention and detection -- Part II: Healthcare Services -- Breast cancer diagnosis -- IoT Pharmaceutical management -- Biomedical Text conversion algorithms -- Part III: Education -- Machine learning in teaching and assessment of students -- Prediction of student performance -- Training the next generation of AI students -- Part IV: Tourism and hospitality -- Landmark recognition -- Recommender system for tourists -- Part V: AI Ethics -- Ethics of facial recognition -- Ethics of robotic services -- Bias issues and misapplication of machine learning -- Conclusion.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-92245-0
ISBN:	9783030922450

Artificial intelligence for data science in theory and practice
Artificial intelligence for data science in theory and practice[electronic resource] /edited by Mohamed Alloghani, Christopher Thron, Saad Subair. - Cham :Springer International Publishing :2022. - xvi, 246 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 10061860-9503 ;. - Studies in computational intelligence ;v. 1006..

Introduction -- Part I: Government services -- Intelligent chat bots for online customer service -- Improved services delivery using AI -- Intelligent policing: physical crime and cybercrime prevention and detection -- Part II: Healthcare Services -- Breast cancer diagnosis -- IoT Pharmaceutical management -- Biomedical Text conversion algorithms -- Part III: Education -- Machine learning in teaching and assessment of students -- Prediction of student performance -- Training the next generation of AI students -- Part IV: Tourism and hospitality -- Landmark recognition -- Recommender system for tourists -- Part V: AI Ethics -- Ethics of facial recognition -- Ethics of robotic services -- Bias issues and misapplication of machine learning -- Conclusion.

This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI) The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences. Presents approaches to artificial intelligence taken by various sectors; Includes development-related applications in AI from around the world; Discusses AI in government, healthcare, education, tourism in addition to AI ethics.

ISBN: 9783030922450

Standard No.: 10.1007/978-3-030-92245-0doiSubjects--Topical Terms:

655284
Artificial intelligence
--Data processing.

LC Class. No.: Q336 / .A75 2022

Dewey Class. No.: 006.3

Artificial intelligence for data science in theory and practice
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520 $a This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI) The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences. Presents approaches to artificial intelligence taken by various sectors; Includes development-related applications in AI from around the world; Discusses AI in government, healthcare, education, tourism in addition to AI ethics.
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