Wes McKinney hates the idea of researchers wasting their time. “Scientists unnecessarily dealing with the drudgery of simple data manipulation tasks makes me feel terrible,” he says. Perhaps more than any other person, McKinney has helped fix that problem. McKinney is the developer of “Pandas”, one of the main tools used by data analyst
Watch Dr Paul Pallath, Chief Data Scientist, SAP on Massive Machine Learning. Whether businesses want to use data to make the world a better place, to understand the wishes of customers before they are expressed, to be more proactive than reactive in decision making based on predictive technologies, or something else, there are several challenges that we must all face.
By Gregory Piatetsky, KDnuggets. Big Data surged in popularity both as a field and as a popular buzzword around 2011. However, lately is has been losing its luster and Gartner in 2015 removed Big Data from its Hype Curve, replacing it with Machine Learning.
By Matthew Mayo, KDnuggets. Nothing takes the place of meaningful and substantive study, but these cheat sheets (that’s really not a great term for them) are a handy reference in a pinch or for reinforcing particular ideas.