Information retrieval systems rely on specialised data structures and algorithms to index, query and retrieve relevant information from large collections of text or other data types. Traditional ...

Data structures in Python - a good idea! Data structure books are classical computer science - every CS lecturer plans on writing one at some point because the subject is so closed and neat. You don't ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

This book is a deep dive into the world of data structures and algorithms that Federico Kereki says will transform the way you approach problem solving in JavaScript. Each chapter has clear, ...

Description: This course covers and relates fundamental components of programs. Students use various data structures to solve computational problems, and implement data structures using a high-level ...

Graph-theoretic problems of identifying maximum cliques and maximum independent sets occupy a central place in combinatorial optimisation and theoretical computer science. A clique is a set of ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

A new diagnostic framework applied to Dutch health records reveals that standard fairness metrics can hide feature-level ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...