It''s All Analytics! - The Foundations of Al, Big Data Data Science Landscape for

Zusatztext 109934379 Informationen zum Autor Scott Burk, Gary D. Miner Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 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.

Product details

• Authors: Scott Burk, Scott Miner Burk, Gary D Miner, Gary D. Miner, Miner Gary D.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 09.07.2020
• EAN: 9780367359683
• ISBN: 978-0-367-35968-3
• No. of pages: 272
• Subjects: Natural sciences, medicine, IT, technology > Medicine > General; Social sciences, law, business > Business > General, dictionaries; Artificial Intelligence, BUSINESS & ECONOMICS / Leadership, BUSINESS & ECONOMICS / Industries / General, BUSINESS & ECONOMICS / Information Management, COMPUTERS / Computer Science, BUSINESS & ECONOMICS / Finance / General, BUSINESS & ECONOMICS / Management, BUSINESS & ECONOMICS / Management Science, MEDICAL / Administration, COMPUTERS / Information Technology, BUSINESS & ECONOMICS / Industries / Service, BUSINESS & ECONOMICS / Quality Control, COMPUTERS / Programming / Algorithms, Research & development management, COMPUTERS / Artificial Intelligence / General, Research and development management, Data capture and analysis, Data Capture & Analysis