Today we're looking at HyperLogLog, an algorithm that leverages random chance to count the number of distinct items are in a dataset. It does this by tracking the longest run of zeros in a binary ...

Abstract: Several real-world applications introduce derivativefree optimization problems, called variable dimension problems, where the problem's dimension is not known in advance. Despite their ...

The variable sweep wing was a groundbreaking approach that allowed aircraft to adapt their shape to different phases of flight. This video explains why engineers selected this complex system, how it ...

Google will deprecate practice problem structured data in January and clarifies Dataset markup is only for Dataset Search. Book actions remain supported. Practice problem markup is being deprecated ...

Abstract: Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization ...

Josh Allen was the NFL’s Most Valuable Player on and off the field. The Buffalo Bills quarterback showed he is as well at practice with his hilarious personality. The 29-year-old may have come up ...

When the digital revolution first hit classrooms in the early 2010s—and more schools began issuing laptops or tablets to students for individual use—online learning seemed to promise a faster, easier ...

Dale Earnhardt Jr. would love to see NASCAR change its practice and qualifying rules. On Dale Jr. Download, Earnhardt shared his thoughts on the return of random draw qualifying and the former ...

Parameter to specify control variables and to remove effects of these variables for prediction and calculation of model metrics Control variables are sometimes used in our model builds in addition to ...