Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

A formula used to reorder data into a new sequence. Like all complicated problems, there are many solutions that can achieve the same results, and one sort algorithm can re-sequence data faster than ...

A language that's data-intensive naturally should have a way to dig into the data effectively. Here's a look at some of the R functions for searching and sorting through it all. Searching and sorting ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

When you’re trying to learn how an algorithm works, it’s not always easy to visualize what’s going on. Well, except for maybe binary sort, thanks to the phone book. Professor [thatguyer] is a computer ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

Think of Google Photos as Gmail for pictures, said Google vice president Bradley Horowitz. Before Gmail existed, Horowitz recalled, he’d obsessively file away every email. But as the emails started to ...