Artificial Intelligence and Machine Learning for Business for Non-Engineers
CRC Press (Verlag)
978-0-367-36574-5 (ISBN)
Replete with case studies, this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.
Frank M. Groom, PhD, is a professor in the Graduate Center for Information and Communication Science at Ball State University. His research is concentrated in the areas of high-bandwidth networking, distributed systems, and the storage of multimedia objects. Stephan S. Jones, PhD, is the director of the Center for Information and Communication Sciences, where he is also a professor delivering core technology courses in the graduate-only program. His industry experience is as a field engineer and owner of a telecommunications company providing voice and data solutions for business/commercial systems in the Midwest.
Preface
Acknowledgment
Editors
Contributors
1 Introduction to Artificial Intelligence and Machine Learning
FRANK M. GROOM
2 The Basic Elements of Artificial Intelligence
FRANK M. GROOM
3 Artificial Intelligence and the Cloud
RYAN SUTER
4 Artificial Intelligence Security Threats
RYAN SUTER
5 Artificial Intelligence and IT Management
DAVE PICKENS
6 Artificial Intelligence in Marketing
JOE CIUFFO
7 Artificial Intelligence in Cloud Marketing
LAUREN DONAHUE AND FATEMEH HAJIZADEH
8 Artificial Intelligence in Healthcare
RASHIDA PEETE, KASIA MAJOWSKI, LAURA LAUER, AND ANNIE JAY
9 Artificial Intelligence and Medical Devices
DUSHYANTH MARATT
10 Artificial Intelligence and Public Policy
SOPHIE GUETZKO
11 Artificial Intelligence in Education
MATTHEW LIEVERTZ
Index
Erscheinungsdatum | 04.12.2019 |
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Reihe/Serie | Technology for Non-Engineers |
Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 300 g |
Themenwelt | Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
ISBN-10 | 0-367-36574-X / 036736574X |
ISBN-13 | 978-0-367-36574-5 / 9780367365745 |
Zustand | Neuware |
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