Machine Learning Mit Sap Hana
DOWNLOAD
Download Machine Learning Mit Sap Hana PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning Mit Sap Hana book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Machine Learning Mit Sap Hana
DOWNLOAD
Author : Benedict Baur
language : de
Publisher: Espresso Tutorials GmbH
Release Date : 2022-09-26
Machine Learning Mit Sap Hana written by Benedict Baur and has been published by Espresso Tutorials GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Computers categories.
Seit einigen Jahren preist die SAP das intelligente Unternehmen als Wettbewerbsvorteil an. Mit diesem Buch springen Sie mitten hinein in die Welt der künstlichen Intelligenz (KI). Erfahren Sie, welche Algorithmen die leistungsstarke In-Memory-Datenbank SAP HANA für das Machine Learning (ML) bereithält. Auf deren Basis lassen sich Muster und Gesetzmäßigkeiten in Datenbeständen erkennen und Vorhersagen treffen, die helfen, Geschäftsprozesse zu verbessern. Machen Sie sich mit den beiden zentralen Bausteinen vertraut: Predictive Analysis Library (PAL) und Automated Predictive Library (APL). Während die PAL ermöglicht, einzelne Prozeduren flexibel miteinander zu verknüpfen, um komplexe Szenarien abzubilden, bietet die APL insbesondere automatisierte ML-Szenarien, wie Klassifikationen, Regressionen, Cluster- oder Zeitreihenanalysen. Außerdem lernen Sie Python-Tools, z. B. das Jupyter Notebook, und Techniken für Text-Mining sowohl in SQL-Script als auch in Python kennen. Immer wieder werden die Funktionen und Algorithmen am durchgängigen betriebswirtschaftlichen Beispiel einer Abwanderungsanalyse/Kündigungsvorhersage praktisch veranschaulicht. Dabei lernen Sie einzuschätzen, wie Sie diese Techniken für eigene Szenarien einsetzen und etwaige Hürden bei der Implementierung leichter überwinden. - Predictive Analysis und Automated Predictive Library in SQLScript und Python - Klassifikations- und Cluster-Analysen - Explorative Datenanalysen und Machine Learning im Jupyter Notebook - Text Mining
Building Cloud Software Products
DOWNLOAD
Author : Yasin Hajizadeh
language : en
Publisher: Springer Nature
Release Date : 2025-08-22
Building Cloud Software Products written by Yasin Hajizadeh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Business & Economics categories.
Cloud-native approaches have become essential in IT and OT product development. Cloud-native is more than using the newest cutting-edge services from hyperscalers. Building cloud products benefits from a holistic approach beyond focusing on an isolated cloud paradigm. This book addresses the different aspects of designing, building, and running cloud software products and services from a holistic perspective. It investigates how to empower cloud product and service teams to consider the relevant aspects for long-term success. It provides an overview of selected technologies and practical adoptions and explores various requirements to maintain economic and environmental sustainability. It examines the challenges faced by product management teams of cloud providers, independent software vendors (ISVs), and system integrators (SIs) and offers potential solutions. The chapters also showcase internal success stories and case studies of various companies during the lifecycle of a cloud product. Offering a combination of advanced research from academia and practical industry lessons learned, this book empowers cloud product and service teams to consider and adopt various ideas, concepts, and methods to provide successful, high-quality cloud products and services.
Intelligent And Fuzzy Systems
DOWNLOAD
Author : Cengiz Kahraman
language : en
Publisher: Springer Nature
Release Date : 2024-08-27
Intelligent And Fuzzy Systems written by Cengiz Kahraman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Computers categories.
This book presents recent research in intelligent and fuzzy techniques on Intelligent Industrial Informatics and Efficient Networks. This cutting-edge field integrates advanced technologies, such as artificial intelligence, machine learning and data analytics, into industrial processes, revolutionizing the way industries operate. The book presents the examples of the implementation of smart sensors and IoT devices, which facilitate real-time data collection and communication. High-speed, low-latency networks ensure that information flows effortlessly between devices, enabling timely responses and enabling the coordination of complex manufacturing processes. This network architecture supports the integration of edge computing, where data processing occurs closer to the source, reducing latency and enabling faster decision-making. The readers can benefit from this book for maintaining a leadership position among competitors in both manufacturing and service companies. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying intelligent and fuzzy techniques. The book covers fuzzy logic theory and applications, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
Planning And Reporting In Bi Supported Controlling
DOWNLOAD
Author : Dietmar Schön
language : en
Publisher: Springer Nature
Release Date : 2023-07-24
Planning And Reporting In Bi Supported Controlling written by Dietmar Schön and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-24 with Business & Economics categories.
Planning and reporting solutions in many companies still suffer from poor data quality, are insufficiently integrated and are often time and cost intensive. This practice-oriented book shows step by step how things can be done differently. It systematically shows how modern planning and reporting systems in BI-supported controlling can be set up with the use of data warehouse and big data technology and usefully supplemented with AI-supported features. For the 4th edition, the book has been comprehensively updated. The extensive controlling cockpit example has been expanded. It now contains suggestions for the areas of corporate management (operational and strategic controlling), sales, production, purchasing and project management. In addition, the latest developments in BI-supported controlling with the support of traditional and explorative BI are highlighted, including data mining, predictive analytics, artificial intelligence, RPA, chatbots, data discovery, data visualization, app technology, self-service BI and cloud computing. Further innovations concern the topics of data quality and data modeling. The final chapter is "Mobile BI", which deals with the expansion of powerful mobile analysis and planning solutions with the help of tablets, mobile phones and other mobile devices.
The Routledge Companion To Accounting Information Systems
DOWNLOAD
Author : Erik Strauss
language : en
Publisher: Routledge
Release Date : 2017-12-22
The Routledge Companion To Accounting Information Systems written by Erik Strauss and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-22 with Business & Economics categories.
Information technology has permeated all walks of life in the past two decades. Accounting is no exception. Be it financial accounting, management accounting, or audit, information technology and systems have simplified daily tasks and routine work, simplified reporting, and changed how accounting is done. The Routledge Companion to Accounting Information Systems provides a prestige reference work which offers students and researchers an introduction to current and emerging scholarship in the discipline. Contributions from an international cast of authors provides a balanced view of both the technical underpinnings and organisational consequences of accounting information systems. With a focus on the business consequences of technology, this unique reference book will be a vital resource for students and researchers involved in accounting and information management.
K Nstliche Intelligenz F R Business Analytics
DOWNLOAD
Author : Felix Weber
language : de
Publisher: Springer-Verlag
Release Date : 2020-06-15
K Nstliche Intelligenz F R Business Analytics written by Felix Weber and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-15 with Computers categories.
Waren Methoden der Künstlichen Intelligenz (KI) bis vor wenigen Jahren noch ausschließlich ein Thema von wissenschaftlichen Diskussionen, so finden sie heute zunehmend Eingang in Produkte des täglichen Lebens. Gleichzeitig wächst die Menge der produzierten und verfügbaren Daten aufgrund der zunehmenden Digitalisierung, der Integration digitaler Mess- und Regelsysteme und des automatischen Austausches zwischen Geräten (Internet of Things). Dabei wird zukünftig der Einsatz von Business Intelligence (BI) und ein Blick in die Vergangenheit für die meisten Unternehmen nicht mehr ausreichen.Um in Zukunft im Wettbewerb bestehen zu können, wird vielmehr Business Analytics benötigt, also vorausschauende und prädiktive Analysen und automatisierte Entscheidungen. Die Nutzung der wachsenden Datenmengen ist dabei eine bedeutende Herausforderung und einen der wichtigsten Bereiche der Datenanalyse stellen Methoden der Künstliche Intelligenz dar.Das Buch führt in komprimierter Form in die essenziellen Aspekte des Einsatzes von Methoden der Künstlichen Intelligenz für Business Analytics ein, stellt das Maschinelle Lernen und die wichtigsten Algorithmen in verständlicher Form anhand des Business Analytics Technologieframeworks vor und zeigt Anwendungsszenarien aus verschiedenen Branchen. Dazu liefert es mit dem Business Analytics Model for Artificial Intelligence ein Referenzvorgehensmodell zur Strukturierung von BA- und KI-Projekten im Unternehmen.
Big Data Analytics For Internet Of Things
DOWNLOAD
Author : Tausifa Jan Saleem
language : en
Publisher: John Wiley & Sons
Release Date : 2021-03-23
Big Data Analytics For Internet Of Things written by Tausifa Jan Saleem and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-23 with Mathematics categories.
BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.
The Impact Of Digital Transformation And Fintech On The Finance Professional
DOWNLOAD
Author : Volker Liermann
language : en
Publisher: Springer Nature
Release Date : 2019-10-02
The Impact Of Digital Transformation And Fintech On The Finance Professional written by Volker Liermann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-02 with Business & Economics categories.
This book demystifies the developments and defines the buzzwords in the wide open space of digitalization and finance, exploring the space of FinTech through the lens of the financial services professional and what they need to know to stay ahead. With chapters focusing on the customer interface, payments, smart contracts, workforce automation, robotics, crypto currencies and beyond, this book aims to be the go-to guide for professionals in financial services and banking on how to better understand the digitalization of their industry. The book provides an outlook of the impact digitalization will have in the daily work of a CFO/CRO and a structural influence to the financial management (including risk management) department of a bank.
Cloud Entwicklung In Sap Hana
DOWNLOAD
Author : Eik Sunke
language : de
Publisher: Espresso Tutorials GmbH
Release Date : 2021-07-08
Cloud Entwicklung In Sap Hana written by Eik Sunke and has been published by Espresso Tutorials GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-08 with Computers categories.
Entdecken Sie im vorliegenden Praxishandbuch, welche Möglichkeiten die SAP-HANA-Plattform für eine moderne, cloudbasierte Softwareentwicklung bietet. Neben Technologieaspekten und Konzepten wie »Cloud-native«-Softwareentwicklung oder Microservices-basierte Architekturen werden Sie die relevanten Programmiersprachen, Prozesse und Tools im SAP-Kontext kennenlernen. In unterschiedlichen Anwendungsszenarien veranschaulicht der Autor die Bedeutung der auf der Cloud Foundry basierten Platform-as-a-Service-(PaaS-)Lösung und zeigt Strategien auf, wie die XSA-Architektur in Unternehmen zu etablieren ist. Grundlage für die Entwicklung bilden neben dem XSA-Programmiermodell die Multi-Target Applications (MTA). Anhand eines übergreifenden MTA-Projekts mit mehreren Modulen werden Ihnen die beschriebenen Programmiersprachen und Technologien gegliedert in die Bereiche »Oberflächen«, »Prozesse« und »Datenbank«, nähergebracht. Der Autor hat in diesem Buch Erfahrungen aus diversen Entwicklungsprojekten auf Basis der SAP-HANA-Plattform verarbeitet. Er richtet sich damit insbesondere an Software-Architekten mit einem technischen Grundverständnis und Interesse an moderner Entwicklung im SAP-Umfeld. Die aufgeführten Beispiele der jeweiligen Programmiersprachen werden über ein öffentliches GitHub-Repository zur Verfügung gestellt, um die Technologien direkt ausprobieren zu können. - Einstieg in die cloudbasierte Softwareentwicklung - SAP-HANA-XSA-Plattform für eigene Softwareprojekte verwenden - Entwickeln mit HANA CDS, Java, Node.js, Python und SAPUI5 - inklusive vollständiger MTA-Beispielanwendung
Apply Data Science
DOWNLOAD
Author : Thomas Barton
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Apply Data Science written by Thomas Barton and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Computers categories.
This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown.The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers.