Minimizing Risks and Maximizing Rewards from Machine Learning
By Kathryn Marchesini, Jeff Smith, & Jordan Everson – When talking about artificial intelligence today, people are usually referring to predictive models—often driven by machine learning techniques—that “learn” from historic data and make predictions, recommendations, or classifications (outputs) which inform or drive decision making.
Read More