Este anuncio finalizó el mié. 26 nov. a las 3:37 AM.
Azure Machine Learning Studio for The Non-Data Scientist: Learn
Finalizado
Azure Machine Learning Studio for The Non-Data Scientist: Learn
USD20,32USD20,32
jue, nov 27, 03:37jue, nov 27, 03:37

Azure Machine Learning Studio for The Non-Data Scientist: Learn

Awesomebooksusa
(459746)
Vendedor profesional
Registrado como vendedor profesional
USD20,32
Aproximadamente17,56 EUR
Estado:
En muy buen estado
    Envío:
    Gratis USPS Media MailTM.
    Ubicado en: MD, Estados Unidos
    Entrega:
    Entrega prevista entre el mié. 3 dic. y el mié. 10 dic. a 94104
    Las fechas previstas de entrega (se abre en una nueva ventana o pestaña) incluyen el tiempo de manipulación del vendedor, el código postal de origen, el código postal de destino y la hora de aceptación, y dependen del servicio de envío seleccionado y de que el pago se haya hecho efectivoel pago se haya hecho efectivo (se abre en una nueva ventana o pestaña). Los plazos de entrega pueden variar, especialmente en épocas de mucha actividad.
    Devoluciones:
    30 días para devoluciones. El comprador paga el envío de la devolución..
    Pagos:
        Diners Club

    Compra con confianza

    Garantía al cliente de eBay
    Si no recibes el artículo que has pedido, te devolvemos el dinero. Más informaciónGarantía al cliente de eBay - se abre en una nueva ventana o pestaña
    El vendedor asume toda la responsabilidad de este anuncio.
    N.º de artículo de eBay:335786230116
    Última actualización el 10 may 2025 07:28:51 H.EspVer todas las actualizacionesVer todas las actualizaciones

    Características del artículo

    Estado
    En muy buen estado: Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un ...
    Title
    Azure Machine Learning Studio for The Non-Data Scientist: Learn
    ISBN
    9781548871123
    Categoría

    Acerca de este producto

    Product Identifiers

    Publisher
    CreateSpace
    ISBN-10
    1548871125
    ISBN-13
    9781548871123
    eBay Product ID (ePID)
    6038712619

    Product Key Features

    Number of Pages
    158 Pages
    Publication Name
    Azure Machine Learning Studio for the Non-Data Scientist : Learn How to Create Experiments, Operationalize Them Using Excel and Angular . Net Core Applications, and Create Retraining Programs to Improve Predictive Results
    Language
    English
    Subject
    Computer Science
    Publication Year
    2017
    Type
    Textbook
    Author
    Michael Washington
    Subject Area
    Computers
    Format
    Trade Paperback

    Dimensions

    Item Height
    0.4 in
    Item Weight
    13 Oz
    Item Length
    9.2 in
    Item Width
    7.5 in

    Additional Product Features

    Intended Audience
    Trade
    Synopsis
    Creating predictive models is no longer relegated to data scientists when you use tools such as the Microsoft Azure Machine Learning Studio. Azure Machine Learning Studio is a web browser-based application that allows you to create and deploy predictive models as web services that can be consumed by custom applications and other tools such as Microsoft Excel. With this book, you will learn how to create predictive experiments, operationalize them using Excel and Angular .Net Core applications, and create retraining programs to improve predictive results. Table of Contents Chapter 1: The Author is Not a Data Scientist * Why Do We Need Predictive Modeling? * An Introduction to Get You Started Chapter 2: An End-To-End Azure Machine Learning Studio Application * Create an Azure Machine Learning Workspace * Create An Experiment * Select Columns * Split Data * Train The Model * Score The Model * Evaluate The Model * Create A Predictive Web Service * Consume The Model Using Excel Chapter 3: An Angular 2 .Net Core Application Consuming an Azure Machine Learning Model * The Application * Creating The Application * Create The .Net Core Application * Add PrimeNG * Add The Database * Create Code To Call Azure Machine Learning Web Service * Create The Angular Application * Saving Data * Viewing Data Chapter 4: Retraining an Azure Machine Learning Application * The Retraining Process * Prepare The Training Data * Set-up An Azure Storage Account * Create The Batch Retraining Program * Get Required Values * Add A New Endpoint And Patch It * Consume The New Endpoint, Creating predictive models is no longer relegated to data scientists when you use tools such as the Microsoft Azure Machine Learning Studio.Azure Machine Learning Studio is a web browser-based application that allows you to create and deploy predictive models as web services that can be consumed by custom applications and other tools such as Microsoft Excel.With this book, you will learn how to create predictive experiments, operationalize them using Excel and Angular .Net Core applications, and create retraining programs to improve predictive results.Table of ContentsChapter 1: The Author is Not a Data Scientist* Why Do We Need Predictive Modeling?* An Introduction to Get You StartedChapter 2: An End-To-End Azure Machine Learning Studio Application* Create an Azure Machine Learning Workspace* Create An Experiment* Select Columns* Split Data* Train The Model* Score The Model* Evaluate The Model* Create A Predictive Web Service* Consume The Model Using ExcelChapter 3: An Angular 2 .Net Core Application Consuming an Azure Machine Learning Model* The Application* Creating The Application* Create The .Net Core Application* Add PrimeNG* Add The Database* Create Code To Call Azure Machine Learning Web Service* Create The Angular Application* Saving Data* Viewing DataChapter 4: Retraining an Azure Machine Learning Application* The Retraining Process* Prepare The Training Data* Set-up An Azure Storage Account* Create The Batch Retraining Program* Get Required Values* Add A New Endpoint And Patch It* Consume The New Endpoint

    Descripción del artículo del vendedor

    Información de vendedor profesional

    Certifico que todas mis actividades de venta cumplirán todas las leyes y reglamentos de la UE.
    Número de IVA: GB 724498118
    CRN: 03800600
    Números de responsabilidad ampliada del productor (RAP):
    Un vendedor tendrá un número de RAP si se ha registrado oficialmente como productor de un determinado tipo de producto y asumido la responsabilidad de gestionar los residuos generados por dicho producto.

    Información sobre seguridad y accesibilidad

    Acerca de este vendedor

    Awesomebooksusa

    98,6% de votos positivos1,4 millones artículos vendidos

    Se unió el mar 2009
    Registrado como vendedor profesional
    Visitar tiendaContactar

    Valoraciones detalladas sobre el vendedor

    Promedio durante los últimos 12 meses
    Descripción precisa
    4.8
    Gastos de envío razonables
    5.0
    Rapidez de envío
    5.0
    Comunicación
    5.0

    Categorías populares de esta tienda

    Votos de vendedor (567.766)

    Todas las valoracionesselected
    Positivas
    Neutras
    Negativas
    • 5***w (1178)- Votos emitidos por el comprador.
      Últimos 6 meses
      Compra verificada
      The book that was shown was not the book that I received. Nonetheless, when I informed the seller that it wasn't the item they advertised-/they were more than willing to make it right. Since they didn't have another copy of the title I was expecting, they promptly issued an apology; and refund full refund. I really appreciated the speed at which they were willing to make things right with this transaction. I will definitely not hesitate to do business with them again. Thank You!
    • 7***e (33)- Votos emitidos por el comprador.
      Últimos 6 meses
      Compra verificada
      Amazing price and super fast shipping. Book arrived exactly as described in the correct box meant to ship books. No bumps or dings in the corner because of the attention to packaging. I'll keep an eye on this seller for another purchase. Highly recommend this seller!!!!
    • a***a (1718)- Votos emitidos por el comprador.
      Mes pasado
      Compra verificada
      Awesome seller A+++++. Item was shipped out and received very quickly! Item as described and shown in pics. Packaging was safe and secure, NO issues while in transit. I highly recommend this seller. Great communication and a pleasure to buy good price.