Machine Learning With Sap
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Machine Learning With Sap
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Author : Laboni Bhowmik
language : en
Publisher: SAP PRESS
Release Date : 2020
Machine Learning With Sap written by Laboni Bhowmik and has been published by SAP PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
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. a. 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! b. 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. c. 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 Leonardo functional services to customize and embed pre-trained models into applications or bring your own model with the help of Google TensorFlow. 1) Development 2) Retraining 3) Implementation 4) SAP Data Intelligence 5) SAP HANA predictive analysis library 6) SAP HANA extended machine learning library 7) SAP HANA automated predictive library 8) Google TensorFlow 9) Embedded machine learning 10) SAP Conversational AI 11) SAP Analytics Cloud Smart Predict
Implementing Machine Learning With Sap S 4hana
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Author : Siar Sarferaz
language : en
Publisher: SAP PRESS
Release Date : 2020
Implementing Machine Learning With Sap S 4hana written by Siar Sarferaz and has been published by SAP PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
Put machine learning to work in SAP S/4HANA! Get started by reviewing your available tools and implementation options. Then, learn how to set up services, train models, and manage applications. Discover how machine learning is implemented in key lines of business, from finance to sales. With details on extensibility and related SAP Cloud Platform services, you'll find everything you need to make the most of machine learning! In this book, you'll learn about: a. Tools and Technologies Get to know the machine learning toolkit you can use to consume models: SAP HANA, SAP Cloud Platform, SAP Analytics Cloud, SAP Intelligent Robotic Process Automation, and more. b. Technical Implementation Perform the technical setup in SAP S/4HANA. Learn how to implement key services, train machine learning models, and manage applications, from data integration to user interface design. c. Business Implementation See how machine learning improves your lines of business. Explore machine learning in SAP S/4HANA business processes for finance, procurement, sales, inventory, and more. Highlights Include: 1) Predictive analytics 2) Predictive intelligence 3) Tools and technologies 4) Architecture 5) Embedded services 6) Technical implementation 7) Business implementation 8) Extensibility 9) SAP HANA 10) SAP Cloud Platform 11) SAP Analytics Cloud
Implementing Machine Learning With Sap Hana
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Author : Adeel Hashmi
language : en
Publisher:
Release Date : 2019
Implementing Machine Learning With Sap Hana written by Adeel Hashmi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computer simulation categories.
With this book, you’ll learn about the algorithms, platforms, and SAP solutions that will underpin your application.
Practical Data Science With Sap
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Author : Greg Foss
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-09-18
Practical Data Science With Sap written by Greg Foss and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-18 with Computers categories.
Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data. Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths. You'll explore: Examples of how data analysis can help you solve several SAP challenges Natural language processing for unlocking the secrets in text Data science techniques for data clustering and segmentation Methods for detecting anomalies in your SAP data Data visualization techniques for making your data come to life
Sap Data Intelligence
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Author : Dharma Teja Atluri
language : en
Publisher: SAP PRESS
Release Date : 2021
Sap Data Intelligence written by Dharma Teja Atluri and has been published by SAP PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Computers categories.
Manage your data landscape with SAP Data Intelligence! Begin by understanding its architecture and capabilities and then see how to set up and install SAP Data Intelligence with step-by-step instructions. Walk through SAP Data Intelligence applications and learn how to use them for data governance, orchestration, and machine learning. Integrate with ABAP-based systems, SAP Vora, SAP Analytics Cloud, and more. Manage, secure, and operate SAP Data Intelligence with this all-in-one guide!In this book, you'll learn about:a. Configuration Build your SAP Data Intelligence landscape! Use SAP Cloud Appliance Library for cloud deployment, including provisioning, sizing, and accessing the launchpad. Perform on-premise installations using tools like the maintenance planner. b. Capabilities Put the core capabilities of SAP Data Intelligence to work! Manage and govern your data with the metadata explorer, use the modeler application to create data processing pipelines, create apps with the Jupyter Notebook, and more. c. Integration and Administration Integrate, manage, and operate SAP Data Intelligence! Get step-by-step instructions for integration with SAP and non-SAP systems. Learn about key administration tasks and make sure your landscape is secure and running smoothly. Highlights include:1) Configuration and installation2) Data governance3) Data processing pipelines4) Docker images5) ML Scenario Manager6) Jupyter Notebook7) Python SDK8) Integration9) Administration10) Security11) Application lifecycle management12) Use cases
Learning Sap Analytics Cloud
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Author :
language : en
Publisher:
Release Date : 2019
Learning Sap Analytics Cloud written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Enterprises need ways to harness data to improve organizational outcomes, and ultimately to improve the quality of their products and services. SAP Analytics Cloud, part of the SAP Business Intelligence suite, allows you to analyze data from any industry-standard data source to make more data-driven, evidence-based decisions. In this course, you can learn how to use the Analytics Cloud to generate reports and look for data insights that can help your organization. Instructor Joshua Rischin explains how to create and manage data models, build reports and dashboards, and enhance your analysis with the artificial intelligence (AI) and machine learning features in SAP Analytics Cloud. No matter what kind of data you need to analyze-pricing or sales data, custom customer information, or inventory-SAP Analytics Cloud can help you turn your data into clear and actionable insights.
Bayesian Learning In Classification And Density Estimation
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Author : Kwokleung Chan
language : en
Publisher:
Release Date : 2002
Bayesian Learning In Classification And Density Estimation written by Kwokleung Chan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Machine Learning Mit Sap Hana
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Author : Benedict Baur
language : de
Publisher:
Release Date : 2022-09-27
Machine Learning Mit Sap Hana written by Benedict Baur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-27 with categories.
Sap Leonardo
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Author : Pierre Erasmus
language : en
Publisher: SAP PRESS
Release Date : 2019
Sap Leonardo written by Pierre Erasmus and has been published by SAP PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.
This guide to SAP Leonardo shows you how new technologies from machine learning to blockchain intersect with existing processes to transform your business. --
Mitigating Bias In Machine Learning
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Author : Carlotta A. Berry
language : en
Publisher: McGraw Hill Professional
Release Date : 2024-10-18
Mitigating Bias In Machine Learning written by Carlotta A. Berry and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Technology & Engineering categories.
This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation strategies that are ready to deploy across a wide range of technologies, applications, and industries. Edited by engineering and computing experts, Mitigating Bias in Machine Learning includes contributions from recognized scholars and professionals working across different artificial intelligence sectors. Each chapter addresses a different topic and real-world case studies are featured throughout that highlight discriminatory machine learning practices and clearly show how they were reduced. Mitigating Bias in Machine Learning addresses: Ethical and Societal Implications of Machine Learning Social Media and Health Information Dissemination Comparative Case Study of Fairness Toolkits Bias Mitigation in Hate Speech Detection Unintended Systematic Biases in Natural Language Processing Combating Bias in Large Language Models Recognizing Bias in Medical Machine Learning and AI Models Machine Learning Bias in Healthcare Achieving Systemic Equity in Socioecological Systems Community Engagement for Machine Learning