Design, train, and deploy machine learning apps!

Machine Learning with SAP Models and Applications

ca. € 89,95

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€ 84,95

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495 Seiten, , gebunden
SAP PRESS, ISBN 978-1-4932-1926-1
495 Seiten,
E-Book-Formate: PDF, EPUB, MOBI/Kindle, Online
SAP PRESS, ISBN 978-1-4932-1927-8

Work smarter with machine learning! Begin with core machine learning concepts—types of learning, algorithms, data preparation, and more. Then use SAP Data Intelligence, SAP HANA, and other technologies to create your own machine learning applications. Master the SAP HANA Predictive Analysis Library (PAL) and machine learning functional and business services to train and deploy models. Finally, see machine learning in action in industries from manufacturing to banking.

  • Develop machine learning applications with SAP
  • Learn to select algorithms and prepare data
  • Design, train, and fine-tune models with SAP HANA and SAP Data Intelligence
E-book in full color. PDF (20.3 MB), EPUB (14.2 MB), and MOBI (38.1 MB) file for download, DRM-free with personalized digital watermark. Copy and paste, bookmarks, and print-out permitted. Table of contents, in-text references, and index fully linked. Including online book edition in dedicated reader application.
495 pages, hardcover, 1.4 in. Reference book format 7 x 10 in. Printed black and white on 60# offset paper from sustainable sources. Casebound for durability. Reader-friendly serif font (TheAntiquaB 9.5 Pt.). One-column layout.

In this book, you'll learn about:

  1. Foundation

    Build your understanding of probability concepts and algorithms that drive machine learning. See how linear regression, classification, and cluster analysis algorithms work, before plugging them into your very own machine learning app!

  2. Development

    Follow step-by-step instructions to gather and prepare data, create machine learning models, train and fine-tune models, and deploy your final app, all using SAP HANA and SAP Data Intelligence.

  3. Platforms

    Use built-in SAP HANA libraries to create applications that consume machine learning algorithms or integrate with the R language for additional statistical capabilities. Work with the SAP Data Intelligence to customize and embed pre-trained models into applications or bring your own model with the help of Google TensorFlow.

Highlights include:

  • Development
  • Retraining
  • Implementation
  • SAP Data Intelligence
  • SAP HANA predictive analysis library
  • SAP HANA extended machine learning library
  • SAP HANA automated predictive library
  • Google TensorFlow
  • Embedded machine learning
  • SAP Conversational AI
  • SAP Analytics Cloud Smart Predict
Komplettes Inhaltsverzeichnis
Laboni Bhowmik is an SAP manufacturing consultant working at IBM since 2007. She has more than 15 years of experience with SAP solutions and technologies, including SAP Manufacturing Integration and Intelligence, SAP Manufacturing Execution, SAP Overall Equipment Effectiveness Management, SAPUI5, and SAP Cloud Platform.
Avijit Dhar is a senior consultant with IBM India. He has more than 15 years of experience in leading the design and implementation of multiple large-scale projects, particularly in the SAP manufacturing domain.
Ranajay Mukherjee is a senior solution architect of SAP advanced analytics in IBM India. He has more than 21 years of experience in solutioning, leading, and delivering complex analytics projects across industries.
Autorenporträts

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