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Demystifying Big Data Machine by Natarajan Prashant (19 results)
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Demystifying Big Data and Machine Learning for Healthcare (Himss Book)
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: very_good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.
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Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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£ 32.86
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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£ 28.91
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Add to basketPaperback. Condition: New.
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Demystifying Big Data and Machine Learning for Healthcare
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 41.25
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£ 36.17
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Demystifying Big Data And Machine Learning For Healthcare
Published by Taylor & Francis Group, 2017
ISBN 10: 1138032638 ISBN 13: 9781138032637
Language: English
Condition: New.
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Demystifying Big Data And Machine Learning For Healthcare
Published by Taylor & Francis Group, 2017
ISBN 10: 1138032638 ISBN 13: 9781138032637
Language: English
£ 88.16
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
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Demystifying Big Data and Machine Learning for Healthcare
Published by Taylor & Francis Ltd, 2017
ISBN 10: 1138032638 ISBN 13: 9781138032637
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 82.12
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 567.
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£ 87.36
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Demystifying Big Data and Machine Learning for Healthcare
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 43.23
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Demystifying Big Data And Machine Learning For Healthcare
Published by Taylor & Francis Group, 2017
ISBN 10: 1138032638 ISBN 13: 9781138032637
Language: English
Condition: New. PRINT ON DEMAND.
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£ 64.23
Convert currency£ 53.84 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it.Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to:Develop skills needed to identify and demolish big-data mythsBecome an expert in separating hype from realityUnderstand the V's that matter in healthcare and whyHarmonize the 4 C's across little and big dataChoose data fi delity over data qualityLearn how to apply the NRF FrameworkMaster applied machine learning for healthcareConduct a guided tour of learning algorithmsRecognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs)The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
