Today’s large language models are hardly related to the kinds of machine intelligence we see in science fiction, according to ...

Handpicked titles for beginner to senior-level software rolesCovers coding, system design, clean code, and real-world problem ...

Recently, Dr. Shmuel Winograd discovered a new approach to the computation of the discrete Fourier transform (DFT). Relative to fast Fourier transform (FFT), the Winograd Fourier transform algorithm ...

Knowing how algorithmic trading works is key to success. This guide will break down what it is, how it works and why it could help your investments.

1. Introduction to Algorithms- by Thomas H. Cormen Considered the bible of algorithms, this book provides comprehensive coverage of algorithms, including sorting, searching, and graph algorithms. It ...

This book has been written for readers wanting to learn more about programming and how to make best use of the ORIC-1 microcomputer's many powerful features. Most aspects of the ORIC-1 are covered, ...

The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

All of the books explore a vital aspect of the information age—from studying the code that creates systemic bias to discussing regimes that limit access to information. The third book, Digital ...