Elsevier science technology apr 2021 (2 resultados)

Editorial: 
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (2)

  • Nuevo (2)

a

Intervalo de precios personalizado (EUR)

a

  • Idioma: Inglés

    Editorial: Elsevier Science & Technology Apr 2021, 2021

    0128203315 / 9780128203316

    • Tapa blanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 106,69

    Envío por EUR 43,42 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. Neuware - Computer Organization and Design RISC-V Edition: The Hardware Software Interface, Second Edition, the award-winning textbook from Patterson and Hennessy that is used by more than 40,000 students per year, continues to present the most comprehensive and readable introduction to this core computer science topic. This version of the book features the RISC-V open source instruction set architecture, the first open source architecture designed for use in modern computing environments such as cloud computing, mobile devices, and other embedded systems. Readers will enjoy an online companion website that provides advanced content for further study, appendices, glossary, references, links to software tools, and more.…

  • Idioma: Inglés

    Editorial: Elsevier Science & Technology Apr 2021, 2021

    0128219297 / 9780128219294

    • Tapa blanda
    • Impresión bajo demanda

    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 131,00

    Envío por EUR 23,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. 476 pp. Englisch.…