Leadership by Algorithm: Who Leads and Who Follows in the AI Era? by David De Cremer
English | May 26, 2020 | ASIN: B084VSZ8WJ, ISBN: 0857198289 | True MOBI | 212 pages | 1.99 MB
With artificial intelligence on the rise, the way we run our organisations will change-and drastically. But what exactly will that future look like? And who will take the leading role: machines or people?

English | 2022 | ISBN: 0197644465 | 273 pages | True PDF EPUB | 13.25 MB
For years, technologists and computer scientists have promised an AI revolution that would transform the very basis of how we imagine and administer modern medicine. AI-driven advancements in medical error rates, diagnostic accuracy, or disease outbreak detection could potentially save thousands of lives. But health AI also carries the potential for exacerbating deep systemic biases if left unchecked.
The Doctor and the Algorithm combines insights from science and technology studies, critical algorithm studies, and public interest informatics to better understand the promise and peril of health AI. The book draws on case studies in automated diagnostics, algorithmic pain measurement, AI-driven drug discovery, and death prediction to investigate how health AI is made, promoted, and justified. It explores the enthusiastic promises of health AI marketing communication and medical futurism while also analyzing the inequitable outcomes new AI technology often creates for already marginalized communities. Finally, the book closes with specific recommendations for regulatory frameworks that might support more ethical and equitable approaches to health AI in the future.

Graham S The Doctor and the Algorithm Future of Health AI 2022 | 10.96 MB
English | 273 Pages

Title: The Doctor and the Algorithm
Author: Graham, S. Scott;
Year: 2022

Published 8/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.07 GB | Duration: 0h 49m
Learn How To Crack The Algorithm, Boost Your Content Organically and Create Consistent Viral-Worthy Content on TikTok.

Published 08/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.5 GB | Duration: 97 lectures • 12h 9m
Learn how to implement Genetic Algorithn to solve real-world combinatorial optimization problems using Matlab

English | 2022 | ISBN: 1509953183 | 199 pages | True PDF EPUB | 13.65 MB
What effect do robots, algorithms, and online platforms have on the world of work? Using case studies and examples from across the EU, the UK, and the US, this book provides a compass to navigate this technological transformation as well as the regulatory options available, and proposes a new map for the era of radical digital advancements.
From platform work to the gig-economy and the impact of artificial intelligence, algorithmic management, and digital surveillance on workplaces, technology has overwhelming consequences for everyone's lives, reshaping the labour market and straining social institutions. Contrary to preliminary analyses forecasting the threat of human work obsolescence, the book demonstrates that digital tools are more likely to replace managerial roles and intensify organisational processes in workplaces, rather than opening the way for mass job displacement.

Butterfly Optimization Algorithm: Theory and Engineering Applications
English | 2022 | ISBN: 9811937664 | 122 Pages | PDF EPUB (True) | 7 MB
This book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). It also highlights hybridization process in the basic structure of BOA with in-depth analysis of complexity. This book also describes the constraint handling process. The newly introduced variant is implemented and validated on a set of linear and nonlinear real works problems of engineering and pulp and paper industry. The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm.

English | 2022 | ISBN: 1032070919, 978-1032070919 | 347 pages | True PDF | 11.59 MB
Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters.
Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges.

Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 703.08 MB | Duration: 1h 32m
Implementation of the Minimax algorithm (and Alpha-beta pruning) in Python

7 Algorithm Design Paradigms
by Sung-Hyuk Cha
English | 2020 | ISBN: 1735168041 | 1400 Pages | True PDF | 15.1 MB