Charles-Antoine Richard. (ed.) DZone's Guide to Artificial Intelligence: Machine Learning and Predictive Analytics

Cary, NC: DZone, 2017. — 38 p.
The age of Artificial Intelligence and Machine Learning technologies seems to be right around the corner. Companies like Facebook & Google are breaking ground on astounding innovations in AI while others, like Tesla, warn of the possibility for harm. The purpose of this Guide is to steer you and your team through endless possibility, and to help build ethically responsible technologies that improve and enhance our lives.3 Executive Summary
4 Key Research Findings
6 TensorFlow for Real-World Applications
8 Data Integration & Machine Learning for Deeper Customer Insights
12 AI-Powered NLP: The Evolution of Machine Intelligence from Machine Learning
14 Changing Attitudes and Approaches Towards Privacy, AI, and IoT
16 Infographic: The Rob-Office
20 Reinforcement Learning for the Enterprise
23 Diving Deeper into AI
24 Learning Neural Networks Using Java Libraries
27 Checklist: Practical Uses of AI
30 Executive Insights on Artificial Intelligence and All of its Variants
32 AI Solutions Directory
36 Glossary