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Azure Machine Learning Studio for The Non-Data Scientist: Learn
US $20,32
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Libro che non sembra nuovo ed è già stato letto, ma è in condizioni eccellenti. Nessun danno evidente alla copertina, dotato di sovraccoperta(se applicabile) per le copertine rigide. Nessuna pagina mancante o danneggiata, piegata o strappata, nessuna sottolineatura/evidenziazione di testo né scritte ai margini. Potrebbe presentare minimi segni identificativi sulla copertina interna. Mostra piccolissimi segni di usura. Per maggiori dettagli e la descrizione di eventuali imperfezioni, consulta l'inserzione del venditore.
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Oggetto che si trova a: MD, Stati Uniti
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Consegna prevista tra il gio 16 ott e il mer 22 ott a 94104
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Restituzioni entro 30 giorni. Le spese di spedizione del reso sono a carico dell'acquirente..
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Numero oggetto eBay:335786230116
Specifiche dell'oggetto
- Condizione
- Title
- Azure Machine Learning Studio for The Non-Data Scientist: Learn
- ISBN
- 9781548871123
Informazioni su questo prodotto
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
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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Awesomebooksusa
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Feedback sul venditore (556.634)
- 7***e (33)- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificatoAmazing 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!!!!
- 5***w (1174)- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificatoThe 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!
- f***f (1624)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoExcellent Seller, Goes the Extra Mile. The Seller Was Incredibly Communicative. Smooth Transaction, Shipped Very Quickly, As Advertised; Good Price; Well Packaged & Delivered Within a Few Days. Item in Described Promised Condition, Thank You Very Much!!!!!!!!!!! A+Sam's Letters To Jennifer By James Patterson. 9780316000741 (N° 394523567865)