"Predictive analytics in most cases is already *meant* to inform case-by-case actions — driving a decision by way of each per-individual predictive score. That is to say, it is already by design “prescriptive,” and introducing the…"
"Although the feature extraction is of interest from an NLP vantage, this work on picking bestsellers drastically overstates how well it works when expressed in terms of "high accuracy." The metric doesn't make sense, and implies to…"
Eric Siegel, Ph.D., founder of the Predictive Analytics World conference series (13k attendees since 2009), co-founder of Deep Learning World, and executive editor of The Predictive Analytics Times, makes the how and why of predictive analytics (aka machine learning) understandable and captivating. He is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a former Columbia University professor who used to sing to his students, and a renowned speaker and educator who's been commissioned for more than 80 keynote addresses by these industries: ad tech, construction, e-commerce, environmentalism, financial services, government, healthcare, human resources, insurance, law, manufacturing, market research, marketing, news media, pharmaceuticals, restaurants, real estate, and travel.