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Ten Myths About Data Science

Click to learn more about author Daniel Jebaraj. Introduction Data Science is now being used as a competitive weapon. As with other technologies and processes that can transform the way companies operate, there’s a lot of contradictory information about it that’s causing considerable confusion. Most of today’s business leaders have heard that Data Science can […]

Data Science in 90 Seconds: Random Forest

Click to learn more about video blogger Laura Kahn. This is Lesson 10 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]

Thinking Inside the Box: How to Audit an AI Project

Click to learn more about author Paul Barba. Over the years we’ve read about far too many AI fails. But it’s not all AI’s fault. AI’s less-than-stellar track record is in large part due to poorly defined project goals and organizations’ tendency to treat the technology as inscrutable high-tech “magic”. Without transparency, accountability or an understanding […]