Recent Advances in Artificial Intelligence in Cost Estimation in Project Management: 6 (Artificial Intelligence-Enhanced Software and Systems Engineering). Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, 2024
- Hardcover
- Neu

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Zustand: Neu
EUR 266,06
Bestandsnummer des Verkäufers 26403494674
- Titel
- Recent Advances in Artificial Intelligence in Cost Estimation in Project Management: 6 (Artificial Intelligence-Enhanced Software and Systems Engineering)
- Autor
- Rankovic, Nevena; Ranković, Dragica; Ivanovic, Mirjana; Lazić, Ljubomir
- Verlag
- Springer
- Erscheinungsjahr
- 2024
- Zustand
- New
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 3031765710
- ISBN-13
- 9783031765711
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.
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Von der hinteren Coverseite
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.
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