Eric Siegel, PhD, is a leading consultant and former Columbia University professor who makes machine learning understandable and captivating. He is the founder of the Predictive Analytics World and Deep Learning World conference series, which have served more than 17,000 attendees since 2009; the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery”; a popular speaker who’s been commissioned for more than 110 keynote addresses; and executive editor of The Machine Learning Times. He authored the best-selling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at more than 35 universities, and he won teaching awards when he was a professor at Columbia University, where he sang educational songs to his students. Eric also publishes op-eds on analytics and social justice. Follow him @predictanalytic.
How do you convince decision makers in your enterprise to give a machine learning (ML) project the green light? You might be super excited about machine learning – as many of us are – and might think that this stuff should basically sell itself! The value proposition can seem totally
