I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

Next, we introduce the heap data structure and the basic properties of heaps. This is followed by algorithms for insertion, deletion and finding the minimum element of a heap along with their time ...

The danger is that these algorithms, which are trained on data produced by people, may reflect the biases in that data, perpetuating structural racism and negative biases about minority groups.

Classical algorithms for persistent homology have two steps (the ‘pipeline’). First, one processes the data to allow the construction of a topological structure such as a simplicial complex ...

data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority queues, graphs, shortest paths, ...

In the new paper, Zhang and his collaborators verified their approach by testing it on time-series data, ensuring that it produced a known underlying structure. Then, they applied it to ...

This course is available with permission to General Course students. Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing ...

In AI, is data more important than algorithms? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique insights. Answer by Xavier ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...