IT'S ALL ANALYTICS! the foundations of ai, big data, and data science landscape for... professionals in healthcare, business, and governm.
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BURK, S. (2020). IT'S ALL ANALYTICS!: the foundations of ai, big data, and data science landscape for... professionals in healthcare, business, and governm . PRODUCTIVITY PRESS.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)BURK, SCOTT. 2020. IT'S ALL ANALYTICS!: The Foundations of Ai, Big Data, and Data Science Landscape For... Professionals in Healthcare, Business, and Governm. [S.l.]: PRODUCTIVITY PRESS.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)BURK, SCOTT. IT'S ALL ANALYTICS!: The Foundations of Ai, Big Data, and Data Science Landscape For... Professionals in Healthcare, Business, and Governm [S.l.]: PRODUCTIVITY PRESS, 2020.
Harvard Citation (style guide)BURK, S. (2020). IT'S ALL ANALYTICS!: the foundations of ai, big data, and data science landscape for... professionals in healthcare, business, and governm. [S.l.]: PRODUCTIVITY PRESS.
MLA Citation, 9th Edition (style guide)BURK, SCOTT. IT'S ALL ANALYTICS!: The Foundations of Ai, Big Data, and Data Science Landscape For... Professionals in Healthcare, Business, and Governm PRODUCTIVITY PRESS, 2020.
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Grouping Information
Grouped Work ID | 7947b9a9-0dd7-e3d8-68c0-5e5ac3b13f1d-eng |
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Full title | its all analytics the foundations of ai big data and data science landscape for professionals in healthcare business and governm |
Author | burk scott |
Grouping Category | book |
Last Update | 2024-12-17 08:30:41AM |
Last Indexed | 2024-12-17 08:34:56AM |
Book Cover Information
Image Source | google_isbn |
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First Loaded | Aug 17, 2023 |
Last Used | Dec 14, 2024 |
Marc Record
First Detected | Mar 22, 2023 08:34:28 AM |
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Last File Modification Time | Dec 17, 2024 08:12:03 AM |
Suppressed | Record had no items |
MARC Record
LEADER | 03382cam a2200613M 4500 | ||
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100 | 1 | |a BURK, SCOTT. | |
245 | 1 | 0 | |a IT'S ALL ANALYTICS!|h [electronic resource] :|b the foundations of ai, big data, and data science landscape for... professionals in healthcare, business, and governm. |
260 | |a [S.l.] :|b PRODUCTIVITY PRESS,|c 2020. | ||
300 | |a 1 online resource | ||
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338 | |a online resource|2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a <P>Foreword Number One. Foreword Number Two. Foreword Number Three. Preface. Endorsements. Authors. Chapter 1. You Need This Book. Chapter 2. Building a Successful Program. Chapter 3. Some Fundamentals -- Process, Data, and Models. Chapter 4. It's All Analytics! Chapter 5. What Are Business Intelligence (BI) and Visual BI? Chapter 6. What Are Machine Learning and Data Mining? Chapter 7. AI (Artificial Intelligence) and How It Differs from Machine Learning. Chapter 8. What Is Data Science? Chapter 9. Big Data and Bigger Data, Little Data, Cloud, and Other Data. Chapter 10. Statistics, Causation, and Prescriptive Analytics. Chapter 11. Other Disciplines to Dive in Deeper: Computer Science, Management/Decision Science, Operations Research, Engineering (and More). Chapter 12. Looking Ahead. Index.</P> | |
520 | |a This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. | ||
590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
650 | 0 | |a Artificial intelligence.|9 29344 | |
650 | 0 | |a Decision making.|9 35625 | |
650 | 0 | |a Visual analytics.|9 399406 | |
650 | 0 | |a Big data.|9 403931 | |
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