000 03111cam a22005298i 4500
001 9781003097181
003 FlBoTFG
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006 m o d
007 cr |||||||||||
008 210202s2021 flu ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003097181
_q(ebook)
020 _a1003097189
020 _a9781000413489
_q(electronic bk. : EPUB)
020 _a1000413489
_q(electronic bk. : EPUB)
020 _a9781000413458
_q(electronic bk. : PDF)
020 _a1000413454
_q(electronic bk. : PDF)
020 _z9780367562854
_q(hardback)
020 _z9780367562915
_q(paperback)
024 8 _a10.1201/9781003097181
_2doi
035 _a(OCoLC)1236897081
035 _a(OCoLC-P)1236897081
050 0 0 _aT59.6
072 7 _aCOM
_x021030
_2bisacsh
072 7 _aBUS
_x049000
_2bisacsh
072 7 _aTEC
_x020000
_2bisacsh
072 7 _aTBC
_2bicssc
082 0 0 _a658.4/038028563
_223
245 0 0 _aIndustry 4.0, AI, and data science :
_bresearch trends and challenges /
_cedited by Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, and Sunil Kumar Chawla.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2021.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aDemystifying Technologies for Computational Excellence Ser.
520 _a"The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aIndustry 4.0.
650 7 _aCOMPUTERS / Database Management / Data Mining
_2bisacsh
650 7 _aBUSINESS & ECONOMICS / Operations Research
_2bisacsh
650 7 _aTECHNOLOGY / Manufacturing
_2bisacsh
700 1 _aBali, Vikram,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003097181
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c4778
_d4778