Chinh van (22 Ergebnisse)

Zustand: New. In English.

Zustand: New. In English.

Softcover. Zustand: As New.

Zustand: New. In English.

Zustand: Gut. 198 S. Alle Bücher & Medienartikel von Book Broker sind stets in gutem & sehr gutem gebrauchsfähigen Zustand. Dieser Artikel weist folgende Merkmale auf: Altersentsprechend nachgedunkelte/saubere Seiten in fester Bindung. Leichte Gebrauchsspuren. Sprache: Englisch Gewicht in Gramm: 236 Taschenbuch, Maße: 15.9 cm x 1.17 cm x 21.41 cm.…

Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Good. 1st Edition. First edition, first impression. xvi, 136pp, with black and white illustrations. Yellow cloth-covered boards. 8vo. Volume is neat, clean, bright and tight, except that the dust jacket has been taped to the endpapers. Laminated dust jacket, bumped and scuffed on edges, with taped reinforcements at head and heel of spine. Dust wrapper taped to endpapers. …

Zustand: New.

Buch. Zustand: Neu. Neuware.

Gebunden. Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 382 pages. French language. 8.43x5.04x1.10 inches. In Stock.

Paperback. Zustand: Brand New. 330 pages. 6.14x0.75x9.21 inches. In Stock.

Zustand: very good. Le livre peut montrer des signes d'usure dus a une utilisation constante, etre marque, porter des marques d'identification ou presenter plusieurs dommages esthetiques mineurs. vendeur professionnel; envoi soigne en 24/48h.

Zustand: New. Tien V.T. Nguyen, a member of the IEEE, is a highly accomplished individual with an impressive educational background. He obtained a master s degree in mechanical engineering and linguistics from prestigious institutions such as Viet Nam National .

Taschenbuch. Zustand: Neu. Neuware - As multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is a comprehensive resource that bridges the gap between ML and MCDM. It offers a practical approach by demonstrating the application of ML and MCDM algorithms to real-world problems. Through case studies and examples, it showcases the effectiveness of these techniques in optimal design. The book also provides a comparative analysis of conventional MCDM algorithms and machine learning techniques, enabling readers to make informed decisions about their use in different scenarios. It also delves into emerging trends, providing insights into future directions and potential opportunities. The book covers a wide range of topics, including the definition of optimal design, MCDM algorithms, supervised and unsupervised ML techniques, deep learning techniques, and more, making it a valuable resource for professionals and researchers in various fields. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is designed for professionals, researchers, and practitioners in engineering, computer science, sustainability, and related fields. It is also a valuable resource for students and academics who wish to expand their knowledge of machine learning applications in multicriteria decision-making. By offering a blend of theoretical insights and practical examples, this guide aims to inspire further research and application of machine learning in multidimensional decision-making environments. …

Zustand: New.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 424 pages. 9.18x6.12x9.21 inches. In Stock.