Resources
Books
AI for the Wider Audience – Overview & Applications
Anasse Bari, Mohamed Chaouchi, Tommy Jung: Predictive Analytics For Dummies
Gary Marcus, Ernest Davis: Rebooting AI – Building Artificial Intelligence We Can Trust
Gary Smith: The AI Delusion
AI – Text Books
Stuart Russell, Peter Norvig: Artificial Intelligence: A Modern Approach, Global Edition
Ian Goodfellow, Yoshua Bengio, Aaron Courville: Deep Learning (Adaptive Computation And Machine Learning Series)
Ian Witten, Eibe Frank, Mark Hall: Data Mining: Practical Machine Learning Tools and Techniques
Holden Karau, Rachel Warren: High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
AI - Special Topics
Mohamed Zahran: Heterogeneous Computing: Hardware and Software Perspectives
Gary Miner, Linda Miner et al: Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
Gary Miner, Linda Miner et al: Practical Predictive Analytics and Decisioning Systems for Medicine
Articles
Fast Company: NYU researchers built an AI tool to predict severe cases of COVID-19,
Forbes: What Your Startup Needs To Know About Predictive Analytics (It Is Not As Scary As It Sounds),
Hospitals & Health: AI on the COVID-19 frontline and beyond
Forbes: How AI Can Improve Financial Analytics,
Forbes: How Retailers Use AI To Predict When You’ll Buy,
Business Times: How AI is changing the delivery of customer care
Wall Street Journal: White House Announces $1 Billion Plan to Create AI, Quantum Institutes