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Azure Machine Learning Studio for The Non-Data Scientist: Learn
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Azure Machine Learning Studio for The Non-Data Scientist: Learn
US $20.32US $20.32
Nov 27, 10:37Nov 27, 10:37

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

US $20.32
ApproximatelyS$ 26.44
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    Item specifics

    Condition
    Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
    Title
    Azure Machine Learning Studio for The Non-Data Scientist: Learn
    ISBN
    9781548871123
    Category

    About this product

    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

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