Haque aminul (84 Ergebnisse)

Zustand: New. pp. iv + 58.

Zustand: New.

Paperback. Zustand: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.

Paperback. Zustand: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

Taschenbuch. Zustand: Neu. Gummy Smile | An overall treatment approach | Aminul Haque (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207452132 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Impact of Carp Stocking on Species Diversity | Yield and Recruitment of Non-stocked Indigenous Fish in Oxbow Lakes of Bangladesh | Aminul Haque | Taschenbuch | 256 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783330014893 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Zustand: New.

Paperback. Zustand: Brand New. 256 pages. 8.66x5.91x0.58 inches. In Stock.

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: As New. Unread book in perfect condition.

hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New. 2025. 1st Edition. hardcover. . . . . .

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: NEW.

Zustand: New. 1st edition NO-PA16APR2015-KAP.

Zustand: New.

Zustand: New. In English.

Zustand: New.

Hardback. Zustand: New. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether you're looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource.…

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. Dr. Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles.

Zustand: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 296 pages. 10.00x7.00x10.24 inches. In Stock.

Cloth. Zustand: Very Good. Zustand des Schutzumschlags: Very Good. First Edition. A tidy ex academic library with usual marks. lacks front endpaper. Size: Octavo 0.0.

Hardback. Zustand: New. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether you're looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource.…

Zustand: As New. Unread book in perfect condition.