Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Peren F: Math for Business and Economics

Math for Business and Economics

Compendium of Essential Formulas

Scientific Facts with Philosophical Considerations and Contributions

Mankind's Problem: Climate Change

Numerical Applications in R and Python

Portfolio Management in Continuous Time

Lecture Notes in Networks and Systems

Proceedings of the International Scientific Conference "Digital Future: Science, Education, and Innovative Development of Socio-Economic Systems"

If you're looking to build, deploy, and scale AI solutions with confidence, Practical RHEL AI is the guide you need. Whether you're an AI developer, data scientist, or DevOps engineer, this book walks you through the entire process—from setting up your AI development environment to optimizing and securing enterprise-scale AI workloads on Red Hat Enterprise Linux.You'll start with the essentials: installation, configuration, and leveraging powerful machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Then, you’ll dive into the tools that make AI deployment seamless—GPU acceleration, containerization, and cloud integration with AWS and Azure.Security and compliance are non-negotiable in AI, and this book makes sure you get them right. Learn how to protect your models with encryption, implement role-based access control (RBAC), and meet industry standards like GDPR and HIPAA. You’ll also master AI workload monitoring with Prometheus and Grafana, troubleshoot common issues, and automate deployments with Ansible.&nbsp;However, theory only gets you so far—real-world applications make the difference. Through hands-on examples and case studies in healthcare, finance, and manufacturing, you’ll see how RHEL AI powers innovation in the field. Plus, you'll get insights into the future of AI, including Explainable AI (XAI), Edge AI, and AI governance.&nbsp;With Practical RHEL AI, you’re not just learning AI—you’re building AI solutions that scale.You Will:<ul><li>Learn to Install and Configure RHEL AI to optimize machine learning workloads</li><li>Understand how to train and Deploy AI models using TensorFlow, PyTorch, and Scikit-learn</li><li>Explore how to Integrate and Implement GPU acceleration, cloud computing, and containerization for scalable AI solutions</li><li>Learn to Secure and Evaluate AI workloads with encryption, RBAC, and compliance best practices</li></ul>

Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux

Practical RHEL AI

Understand the fundamentals of SAP supply chain management and intelligence with the new Business Network for Logistics (BN4L) &amp; Global Track and Trace (GTT) systems for SAP customers. It highlights how SAP Business Network enhances collaboration between suppliers, manufacturers, and logistics providers by leveraging shared business objects and real-time data. These integrations helps businesses achieve greater efficiency, transparency, and collaboration across their supply chain operations by leveraging intelligent insights and real-time data so they can better meet the demands of their customers.Getting Started with BN4L and GTT Integrations for SAP will not only provide you with the key concepts and&nbsp; definitions but also system configurations&nbsp; and real-world case studies giving you the skills and knowledge to start using SAP BN4L &amp; GTT with confidence.You Will:&nbsp;<ul><li>Gain insights into the BN4 &amp; GTT Intelligence Network and how it is used in the SAP applications.</li><li>Learn the network for freight collaboration &amp; shipment status.</li><li>Learn the basics of systems administration, master data for the network, and integration scenarios with SAP S/4HANA.</li><li>Understand a high level of end-to-end business processes.</li><li>How it all works together and review analytics to get a better understanding of shared business objects.</li></ul>

Freight Collaboration with SAP Business Network for Logistics and Global Track and Trace

Getting Started with BN4L and GTT Integrations for SAP

Lecture Notes in Economics and Mathematical Systems

This volume would prove to be a beneficial textbook option for economics faculties wishing to offer a PhD level course on quantitative developmental economics or applied economics. This reference volume offers a gentle introduction to various state-of-the-art mathematical and econometric modelling techniques with detailed applications. Each chapter, written by experienced scholars, describe a particular quantitative method for economic modelling and policy analysis. The chapters not only cover the theoretical foundations in a student-friendly language but also provide step-by-step guide to computational aspects. Real-world applications, given in each chapter, focus on the socio-economic conditions and well-being of people in the developing economies and middle-income countries.

Quantitative Methods for Applied Development Economics and Policy Analysis

This companion volume to Artificial Intelligence: A Guide for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all backgrounds and expertise levels. It seeks to demystify AI analytics by exploring core concepts, explaining various stages (Descriptive, Diagnostic, Predictive, and Prescriptive), and highlighting their limitations. Through domain-specific applications, it illustrates how AI is utilized across industries for innovation and efficiency, providing dedicated subsections for healthcare, finance, customer support, and more.Artificial Intelligence: Analytics, Platforms, and Risks thoroughly examines the AI infrastructure and ecosystem, offering insights into frameworks, platforms, tools, key players, and the critical hardware and software components supporting AI applications. It also addresses the multifaceted risks and challenges of AI, such as bad data, model selection bias, job displacement, weaponization, and ethical dilemmas, along with strategies to mitigate these risks.&nbsp;Additionally, it discusses the hurdles in AI adoption, including roadblocks, myths, planning complexities, resource requirements, and data and model challenges. Looking ahead, the book explores the future of AI, highlighting catalysts for technological progress, the transformative impact across industries, and emerging trends shaping the field. With the aim of empowering readers to navigate the complexities of AI, harness its potential, and contribute to its responsible and ethical advancement, this book serves as a comprehensive guide to AI technologies.

Artificial Intelligence: Analytics, Platforms, and Risks

Dieses Übungsbuch konzentriert sich auf die Interpretation und Anwendung anspruchsvoller Analysemethoden, die in der Marketing- und Managementforschung häufig eingesetzt werden. Mit der wachsenden Bedeutung von datenbasierten Entscheidungen in der Praxis wird die Fähigkeit, Analysen mittels quantitativer Methoden kompetent durchzuführen und zu interpretieren, immer wichtiger. Durch die Kombination von theoretischem Wissen und praktischen Übungen mit Lösungen werden Studierende optimal auf ihre zukünftigen beruflichen Herausforderungen vorbereitet. Zielgruppe sind insbesondere Studierende, die bereits Grundkenntnisse in der uni- und bivariaten deskriptiven Statistik erworben haben. Zudem wird ein Verständnis der inferenzstatistischen Verfahren vorausgesetzt, insbesondere der statistischen Prüfung von Hypothesen.
 
 Die folgenden multivariaten Methoden werden behandelt:
 <ul><li>Analyse von fehlenden Werten und Ausreißern zur Bewertung der Datenqualität und Möglichkeiten der Datenaufbereitungen und -transformationen,</li><li>Scoringverfahren zur Bewertung verschiedener Alternativen mittels mehrdimensionaler Zielkriterien,</li><li>Varianzanalysen zum Vergleich der Mittelwerte mehrerer Gruppen, die durch kategoriale Variablen definiert werden,</li><li>Regressionsanalysen zur Erkennung von Zusammenhängen zwischen metrischen Merkmalen,</li><li>Prognoseverfahren zur Vorhersage zukünftiger Werte auf Basis von Beobachtungen aus der Vergangenheit,</li><li>Clusteranalysen zur Strukturierung von Objekten bzw. Subjekten durch Bildung möglichst homogener Gruppen, die gegenüber den anderen Gruppen möglichst heterogen sind, und</li><li>Entscheidungsbaumanalysen zur Klassifizierung von Objekten bzw. Subjekten zu vorgegebenen Gruppen auf Basis bekannter Eigenschaften.</li></ul>
 Die Autoren
 
 Prof. Dr. Stefan Tuschl
 
 ist Professor für Quantitative Methoden am Department Wirtschaft an der Hochschule für Angewandte Wissenschaften (HAW) in Hamburg. Er ist außerdem Mit-Begründer und Mit-Gesellschafter der kom,ma Forschungs- und Beratungsgesellschaft, eines auf Kommunikations-, Werbe- und Markenforschung sowie individuelle Modellierungen spezialisierten Instituts.
 Prof. Dr. Elke Hörnstein
 war Professorin für Quantitative Methoden am Department Wirtschaft an der Hochschule für Angewandte Wissenschaften (HAW) in Hamburg. Zuvor arbeitete sie am Institut für Verkehrs- und Tourismusforschung, Heilbronn.

Grundlagen, Übungen und Lösungen

Quantitative Datenanalysen in Marketing und Management mit SPSS

The process by which information enables energy to produce useful work is fundamental to understand the principles of engineering, and &nbsp;the working of all systems, including human economies. This concept, known as Infodynamics, synthesizes ideas from physics, biology, ecology, sociology and political sciences, and allows us to analyze economies and ecosystems through the lens of complex systems theory.&nbsp;Infodynamics, Economics, Energy, and Life introduces a holistic empirical perspective of the emergence, evolution and functioning of biological and economic systems. Maxwell’s demon in quantum mechanics, singing wales in the oceans, AI programmers, music composers and law writing legislators, all aim to create synergies to increase economic efficiency and sustainability in organisms and society using information. By bridging the gap between information theory and thermodynamics, the book underscores the value of interdisciplinary approaches in addressing complex social phenomena, providing fundamental insights to policymakers, sociologist and any researcher concerned with the future of our bio-social-economic systems.Infodynamics &nbsp;unveils profound universal patterns, conspicuous among all life forms and all human civilizations. Readers will gain a deeper interdisciplinary understanding of the interplay between information and energy across all dimensions of our world, so as to improve their areas of expertise or even their scientific discipline.Klaus Jaffe with a research background in chemistry, biology and economics, is Professor Emeritus at Universidad Simón Bolívar (USB), Caracas. He established the International Doctoral Program for Interdisciplinary Science at USB.&nbsp;

An Interdisciplinary Approach

Infodynamics, Economics, Energy, and Life

Building on the success of the first and second editions, the updated third edition of the Handbook of Epidemiology serves as a major reference for all researchers who want to conduct epidemiological studies or who want to deepen their understanding of epidemiological concepts, methods, and areas of application. The new edition provides an update of all chapters of the second edition and includes additional new chapters to account for recent developments in the field. The book provides a comprehensive overview of the field and covers basic approaches as well as novel and advanced methodologies with a strong applied focus by integrating the most relevant state-of-the-art knowledge that otherwise could only be gathered from single specialist publications dispersed over various scientific journals. It reviews the key issues and methodological approaches pertinent to the field for which the reader pursues an expatiated overview. It may thus serve both as a first orientation for the interested reader and as a starting point for an in-depth study of a specific area as well as a quick reference and a recapitulatory update for the expert.The broad scope of the book becomes apparent by its five sections that facilitate an integration of epidemiological concepts and methods, statistical tools, applications, and epidemiological practice: Part I covers Concepts and Designs in Epidemiology; Part II, Methodological Approaches in Epidemiology; Part III, Statistical Methods in Epidemiology; Part IV, Exposure-Oriented Epidemiology; and Part V, Outcome-Oriented Epidemiology. All chapters follow a similar structure and highlight cross-references to related topics and specialist knowledge to be found in the Handbook. They give an overview of the topic and the most important problems and approaches that are illustrated by examples. Each chapter serves as an introductory text that helps to enter a new field by addressing basic concepts without being too elementary. Thus, it also is of interest for readers who are familiar with the particular topic by reflecting on its state-of-the-art and future perspectives. Each chapter stands on its own and comprises introductory elements that can be understood by the novice, i.e., a readership not being too familiar with the methodological background, and extends to in-depth knowledge that may serve as a reference for the trained epidemiologist. The standard procedures and methods, basic concepts, and knowledge are presented as well as recent advances and new perspectives. The list of references thus covers the whole range from introductory texts to publications for the advanced reader. In particular, the chapters on statistical methods are written for researchers in health sciences who do not have the background of theoretical statisticians and may be in need of application-oriented tools. These chapters offer numerous examples, practical applications, and illustrations. Handbook of Epidemiology, 3rd Edition, is a relevant resource for professionals involved in health research, health reporting, health promotion, disease prevention, health services, and health systems administration, as well as those who need a reference book that covers all aspects of epidemiology as a comprehensive consultant for specific topics. The Handbook also is a useful text for researchers and graduate students in all disciplines related to epidemiology and public health.

Handbook of Epidemiology

This textbook offers an applied introduction to the methods of econometrics. Given the increasing importance of empirical analysis in science and the professional world, the book aims&nbsp;to move econometrics beyond&nbsp;its formal mathematical corner and make it accessible to a broader audience. In&nbsp;developing&nbsp;the textbook, the didactic profile was therefore given priority over scientific elegance. Supported by numerous illustrations, detailed verbal explanations, and accompanying numerical examples, both the&nbsp;fundamentals of econometric and&nbsp;more demanding topics are presented in an easily understandable way. The&nbsp;main sections of &nbsp;the Chapters&nbsp;do not use matrix algebra. However,&nbsp;in each chapter’s appendix, ambitious readers will find detailed matrix-algebra-based representations of the material covered in the main sections.

An Introduction

Econometrics

Evolutionary Economics and Social Complexity Science

This is the first book to present a new approach of institutional design as an evolutionary applied policy based on coherent conceptualization and methodology, and to study the actuality and implications of diversifying real/virtual community currencies. In contrast to a de facto standard theory, an institutional ecosystem can be composed of various institutions that continue to coexist with changing relative frequencies. In this view, diversified monetary institutions with local rules are feasible and realistic. Community currencies are worldwide attempts to redress such problems as financial instability, chronic stagnation, and decline of communities caused by globalization of the economy. Considering those alternative movements as a new type of policy, "evolutionist institutional design", this book clarifies the feasibility and significance of community currencies in the current era of globalization. The book also provides a better understanding than mainstream approaches of such platform institutions as money that determine fundamental means of cognition and action of interacting agents. Money is a symbolically generalized communication medium in the mesodomain that mediates between socioeconomic performance and patterns in the macrodomain and motives and cognitive frameworks in the microdomain. Conventional national systems of money and finance are platform institutions that determine basic replicators for a capitalistic market economy to evolve. In contrast, community currencies conveying both economic and social/cultural values are distinct platform institutions that are expected to endogenously change such basic replicators in outer and inner institutions for agents to a noncapitalistic market economy. These currencies are considered target institutions for "media design" in the framework of evolutionist institutional design.

An Evolutionist Institutional Design Approach

Community Currency

Math for Business and Economics

Autres titres sur ce thème