Our founder, John Elder, shares the painful truth about all analytics projects: “Every stage of an analytics challenge is susceptible to error and misdirection, seeping in to weaken or destroy useful results.” So how do protect models from these hidden pitfalls? ?? ???????? ???????? ???? ?????????? ???????? ???? ????????: “It takes expertise and discipline—responsible AI practices—to guard against these hazards.” In his new blog, John focuses on one key hazard that responsible AI helps address: outlier data points. ?? Check out the blog for real-world examples illustrating how outliers can impact projects—and some key lessons we can learn: https://lnkd.in/eDCSKEjt #DataScience #DataAnalytics #ResponsibleAI
