Artificial Intelligence Basics A Non-Technical Introduction /

• Main Author: Taulli, Tom (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Big data.; Data mining.; Leadership.; Artificial Intelligence.; Big Data/Analytics.; Data Mining and Knowledge Discovery.; Business Strategy/Leadership.; Big Data.

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, heal...

Table of Contents:

• Chapter 1: AI Foundations: History Lessons
• Chapter 2: Data: The Fuel for AI
• Chapter 3: Machine Learning: Mining Insights from Data
• Chapter 4: Deep Learning: The Revolution in AI
• Chapter 5: Robotic Process Automation (RPA): An Easier Path to AI
• Chapter 6: Natural Language Processing (NLP): How Computers Talk
• Chapter 7: Physical Robots: The Ultimate Manifestation of AI
• Chapter 8: Implementation of AI: Moving the Needle for Your Company
• Chapter 9: The Future of AI: The Pros and Cons
• Appendix: AI Resources
• Glossary.