Insider Tips for Building Personalized Recommender Systems

Check out Frank’s liveVideo course Building Recommender Systems with Machine Learning and AI at | | Use discount code watchkane40 to get 40% off. About the author: Frank Kane, Sundog Education founder, explains the advantages, use cases, and methodologies for deploying Recommender Systems. Frank Kane holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. He spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to millions of customers every day. **** INTERESTED IN THE STOCK MARKET? I developed a profitable trading model that generates high probability BUY & SELL signals on S&P500. To learn about it, visit