Artificial Intelligence and Machine Learning for Business for Non-Engineers

Herausgeber: Jones, Stephan S; Groom, Frank M

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Taylor and Francis
• Seitenzahl: 148
• Erscheinungstermin: 2. Dezember 2019
• Englisch
• Abmessung: 231mm x 155mm x 13mm
• Gewicht: 249g
• ISBN-13: 9780367365745
• ISBN-10: 036736574X
• Artikelnr.: 58381220

Autorenporträt

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.

Inhaltsangabe

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