img Leseprobe Leseprobe

Recent Advances in Artificial Intelligence in Cost Estimation in Project Management

Mirjana Ivanovic, Nevena Rankovic, Ljubomir Lazić, et al.

PDF
ca. 181,89
Amazon 127,32 € iTunes Thalia.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

This book focuses on the practical application of AI tools and techniques in software project management, offering detailed theoretical explanations and practical examples of over 40 state-of-the-art machine learning and deep learning algorithms applied across each project phase, as well as in risk and resource management. Helping the business world estimate projects more accurately while saving costs and resources is crucial in today’s rapidly changing, fast-paced technological landscape. Moreover, it presents specific aspects of combined approaches through ensemble models, incorporating Taguchi’s optimization method to further improve estimation accuracy, advancing this area of software project management. A valuable resource for students and professionals to deepen their knowledge and skills, it also serves as a great manual for companies adopting smarter strategies to manage and develop projects more efficiently and effectively.

Weitere Titel in dieser Kategorie
Cover Networks, Markets & People
Francesco Carlo Morabito
Cover Networks, Markets & People
María José Piñeira Mantiñán

Kundenbewertungen

Schlagwörter

Taguchi Method, Practical Aspects of Software Project Estimation, Software Project Management, Robust Design of Experiment, Effort and Cost Estimation, Optimization, Orthogonal Vector Plans, Computational Intelligence, AI Paradigms