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

Huyen C: AI Engineering

AI Engineering

Building Applications with Foundation Models

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

A roadmap for business leaders to unlock the full potential of data, machine learning, and artificial intelligenceNinety-nine percent of businesses surveyed say that data and AI are a top priority--but two-thirds admit to feeling stuck. What most leaders miss is that to succeed at becoming a data-driven business requires developing a nuanced understanding of why data holds such transformative power, what a data-inspired culture looks like, and how to get there.Data Inspired shows that the secret isn't to be more data-driven--it is to become data-inspired. This book reveals the crucial strategic distinction between using data to optimize existing operations and using them as a catalyst for deep transformation and innovation. Wernicke argues that success hinges less on technology and more on reshaping an organization's culture and decision-making habits. And with this book's proven principles, real-world examples, and comprehensive toolbox of methods for building a culture of evidence-based inquiry, readers will learn that success means far more than just adding more data to a business: it is about creating a thoroughly data-inspired organization with innovative work methods, new structures, and unmatched efficiency.Data Inspired will help business leaders, managers, and data professionals move beyond incremental improvements to achieve lasting, powerful change.

Building an Organizational Culture of Inquiry for Lasting Transformation

Data Inspired

Towards AI-based Strategy Planning

Strategic Analytics

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

Wiley Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. <ul> <li>Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques</li> <li>Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning</li> <li>Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website</li> <li>Introduces the most important software frameworks for applying deep learning within finance</li></ul> This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

Deep Learning in Quantitative Finance

Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns-a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning). Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

Tools and Applications for Modeling

Mobility Patterns, Big Data and Transport Analytics

A Comprehensive Introduction

Financial Technology

Contributions to Economics

This book examines the revolutionary impact of artificial intelligence (AI) on communication and collaboration. In recent years, advances in large language models and deep learning have enabled seamless human communication across diverse languages and even with other species, such as dogs and humpback whales. AI is also unlocking the language of plants, including tomatoes and the 'wood wide web.'
The book explores how technologies in natural language processing, image recognition, audio analysis, and network analysis facilitate unprecedented fuzzy data analysis. This progress is crucial for promoting sustainability and addressing climate change by uncovering patterns in complex environmental data that inform sustainable practices and policies. The book further focuses on studying interspecies communication, where AI technologies decode communication patterns between humans and other species, allowing a better understanding of the natural world. It highlights how plants can capture human emotions, enhancing well-being and productivity.
Presenting empirical applications and case studies, the book analyzes societal, economic, and ecological implications, advancing theoretical insights, and introducing innovative methods. It will appeal to an interdisciplinary audience of scholars, students, and researchers in the social sciences, economics, business, sociology, psychology, environmental studies, and media and communication who are interested in a deeper understanding of how artificial intelligence and interspecies communication can contribute to building a sustainable future.&nbsp;

This book examines the revolutionary impact of artificial intelligence (AI) on communication and collaboration. In recent years, advances in large language models and deep learning have enabled seamless human communication across diverse languages and even with other species, such as dogs and humpback whales. AI is also unlocking the language of plants, including tomatoes and the 'wood wide web.'The book explores how technologies in natural language processing, image recognition, audio analysis, and network analysis facilitate unprecedented fuzzy data analysis. This progress is crucial for promoting sustainability and addressing climate change by uncovering patterns in complex environmental data that inform sustainable practices and policies. The book further focuses on studying interspecies communication, where AI technologies decode communication patterns between humans and other species, allowing a better understanding of the natural world. It highlights how plants can capture human emotions, enhancing well-being and productivity.Presenting empirical applications and case studies, the book analyzes societal, economic, and ecological implications, advancing theoretical insights, and introducing innovative methods. It will appeal to an interdisciplinary audience of scholars, students, and researchers in the social sciences, economics, business, sociology, psychology, environmental studies, and media and communication who are interested in a deeper understanding of how artificial intelligence and interspecies communication can contribute to building a sustainable future.&nbsp;

Connecting Species

Artificial Intelligence and Networks for a Sustainable Future

Dynamic Modeling and Econometrics in Economics and Finance

Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces layers of complexity that demand careful attention. This textbook offers a comprehensive and accessible guide to understanding these challenges and applying advanced econometric techniques to real-world financial and economic time series data.
Designed for students, professionals, and researchers with a foundational background in statistics, econometrics, and finance, this book bridges the gap between theory and practice. It introduces key concepts progressively, making it suitable for both intermediate and advanced readers. Each chapter is written in clear, approachable language, ensuring that even those with limited prior experience in econometrics can grasp and apply the material effectively.
The book is organized into five chapters that progressively guide readers through key concepts in financial time series modeling. It begins with Chapter 1, which introduces data filtering techniques, emphasizing the Kalman Filter's role in improving model accuracy. Chapter 2 explores volatility modeling, addressing common challenges in measuring and interpreting variance in financial data. Chapter 3 builds on this by presenting hybrid approaches that combine GARCH models with neural networks to enhance predictive performance. Chapter 4 applies dynamic volatility models to option valuation, offering both theoretical insights and practical tools. Finally, Chapter 5 delves into regime-switching models, including MSAR (Markov Switching Auto Regressive) and STAR (Smooth Transition Auto Regressive), to capture nonlinear behaviors and structural shifts in time series data. Together, these chapters form a cohesive narrative on modeling the dynamic behavior of financial time series, with a particular emphasis on volatility and structural shifts. Whether you're a finance professional, economist, or data scientist, this book is an essential resource for mastering the tools and techniques that drive modern financial analysis.

A Practical Approach

Non-Linearity in Econometric Modeling, Vol. 1

ChatGPT - Das Praxisbuch - 2. Auflage 

 KI entwickelt sich überaus rasant weiter und bietet immer wieder neue Möglichkeiten und Anwendungen. In der zweiten, 
 komplett aktualisierten Auflage ihres erfolgreichen Praxisbuches
 führen Oliver Bock und Florian Knust die Leser wieder durch die faszinierende Welt von ChatGPT. Sie zeigen die neusten Trends und Fortschritte und bieten erneut einen umfassenden Überblick über die 
 Funktionen und Einsatzmöglichkeiten von ChatGPT. 

 Dieses Buch ist ein Must-have für jeden, der das volle Potenzial von ChatGPT ausschöpfen möchte. Mit Schritt-für-Schritt Anleitungen und 
 praxisnahen Beispielen
 machen die Autoren die komplexe Materie auch für Einsteiger verständlich. Der praktische Teil stellt verschiedene Nutzungsszenarien vor und zeigt, wie ChatGPT in den Alltag integriert werden kann.
 

 ¿ 
 Was du in diesem Buch lernst: 

 ¿ 
 ChatGPT sicher bedienen:
 Verständlicher Einstieg mit Praxisspielen, keine Vorkenntnisse nötig
 

 ¿ 
 15 sofort umsetzbare Schritt-für-Schritt-Anleitungen
 für Alltag, Job und Business
 

 ¿ 
 KI Assistenten:
 Dein persönliches CustomGPT - so geht's!
 

 ¿ 
 KI für Kreative:
 Mit DALL-E atemberaubende Bilder generieren (inkl. 24 Bilder Prompts)
 

 ¿ 
 Produktiver arbeiten:
 Von smarten E-Mail-Texten bis hin zu perfekten To-Do-Listen
 

 ¿ 
 Recht und Datenschutz:
 Mit Expertenwissen von Christian Solmecke sicher durch den KI-Dschungel und EU AI Act
 

 ¿ 
 KI-Updates für Käufer:
 Exklusive Tipps und neue KI-Trends gratis per E-Mail ¿
 Bonus:
 50 getestete Power-Prompts aus allen Bereichen (Texte schreiben, Social Media, Marketing, Schule ...)
 Für wen ist dieses Buch? 

 ¿ KI-Neulinge: Starte sofort - verständlich, praxisnah &amp; unterhaltsam!
 

 ¿ Profis &amp; Unternehmer: Automatisiere Aufgaben und steigere deine Effizienz!
 

 ¿ Kreative &amp; Content-Creator: Nutze KI für Texte, Bilder und mehr!
 

 ¿ Künstliche Intelligenz ist die Zukunft - steig jetzt ein und sei ganz vorne mit dabei!
 Aus dem Inhalt: 

 - ChatGPT: alles, was du wissen musst, um zu starten
 

 - Profi-Funktionen: erweiterte Techniken für fortgeschrittene Nutzer
 

 - Anwendungsbeispiele: 15 sofort umsetzbare Ideen für den Alltag
 

 - KI-Bilder mit DALL-E: Bilder generieren und erkennen mit künstlicher Intelligenz
 

 - CustomGPT: dein persönliches ChatGPT einrichten und nutzen
 

 - Bonus: 50 getestete Power-Prompts aus allen Bereichen (Texte schreiben, Social Media, Marketing, Schule ...)

ChatGPT - Das Praxisbuch - 2. Auflage 
 KI entwickelt sich Ã¼beraus rasant weiter und bietet immer wieder neue MÃ¶glichkeiten und Anwendungen. In der zweiten, 
 komplett aktualisierten Auflage ihres erfolgreichen Praxisbuches
 fÃ¼hren Oliver Bock und Florian Knust die Leser wieder durch die faszinierende Welt von ChatGPT. Sie zeigen die neusten Trends und Fortschritte und bieten erneut einen umfassenden Ãœberblick Ã¼ber die 
 Funktionen und EinsatzmÃ¶glichkeiten von ChatGPT. 
 Dieses Buch ist ein Must-have fÃ¼r jeden, der das volle Potenzial von ChatGPT ausschÃ¶pfen mÃ¶chte. Mit Schritt-fÃ¼r-Schritt Anleitungen und 
 praxisnahen Beispielen
 machen die Autoren die komplexe Materie auch fÃ¼r Einsteiger verstÃ¤ndlich. Der praktische Teil stellt verschiedene Nutzungsszenarien vor und zeigt, wie ChatGPT in den Alltag integriert werden kann.
 
 ðŸ“Œ 
 Was du in diesem Buch lernst: 
 âœ… 
 ChatGPT sicher bedienen: 
 VerstÃ¤ndlicher Einstieg mit Praxisspielen, keine Vorkenntnisse nÃ¶tig
 
 âœ… 
 15 sofort umsetzbare Schritt-fÃ¼r-Schritt-Anleitungen
 fÃ¼r Alltag, Job und Business
 
 âœ… 
 KI Assistenten:
 Dein persÃ¶nliches CustomGPT â€“ so gehtâ€™s!
 
 âœ… 
 KI fÃ¼r Kreative:
 Mit DALL-E atemberaubende Bilder generieren (inkl. 24 Bilder Prompts)
 
 âœ… 
 Produktiver arbeiten:
 Von smarten E-Mail-Texten bis hin zu perfekten To-Do-Listen
 
 âœ… 
 Recht und Datenschutz:
 Mit Expertenwissen von Christian Solmecke sicher durch den KI-Dschungel und EU AI Act
 
 âœ… 
 KI-Updates fÃ¼r KÃ¤ufer:
 Exklusive Tipps und neue KI-Trends gratis per E-Mail ðŸ“©
 Bonus:
 50 getestete Power-Prompts aus allen Bereichen (Texte schreiben, Social Media, Marketing, Schule ...)
 FÃ¼r wen ist dieses Buch? 
 ðŸ”¹ KI-Neulinge: Starte sofort â€“ verstÃ¤ndlich, praxisnah &amp; unterhaltsam!
 
 ðŸ”¹ Profis &amp; Unternehmer: Automatisiere Aufgaben und steigere deine Effizienz!
 
 ðŸ”¹ Kreative &amp; Content-Creator: Nutze KI fÃ¼r Texte, Bilder und mehr!
 
 ðŸ’¡ KÃ¼nstliche Intelligenz ist die Zukunft â€“ steig jetzt ein und sei ganz vorne mit dabei!
 Aus dem Inhalt: 
 - ChatGPT: alles, was du wissen musst, um zu starten
 
 - Profi-Funktionen: erweiterte Techniken fÃ¼r fortgeschrittene Nutzer
 
 - Anwendungsbeispiele: 15 sofort umsetzbare Ideen fÃ¼r den Alltag
 
 - KI-Bilder mit DALL-E: Bilder generieren und erkennen mit kÃ¼nstlicher Intelligenz
 
 - CustomGPT: dein persÃ¶nliches ChatGPT einrichten und nutzen
 
 - Bonus: 50 getestete Power-Prompts aus allen Bereichen (Texte schreiben, Social Media, Marketing, Schule ...)

Prompts, Texten, Ki Bilder, Social Media - mit vielen KI-Praxisbeispielen - Steigere deine Produktivität mit KI - für Einsteiger und Profi geeignet

ChatGPT - Das Praxisbuch - 2. Auflage -

The Sunday Times and #1 New York Times Bestseller 'The Technological Republic is far too important to ignore' Times Literary Supplement Silicon Valley's brightest minds once collaborated with governments to advance technologies, securing the West's dominance on the global stage. But that relationship has corroded - with perilous repercussions for us all. Lifting the veil on tech giant Palantir and its broader political project, visionary co-founder and CEO Alexander C. Karp and his long-time deputy Nicholas W. Zamiska offer a searing critique of our collective culture of complacency. To regain geopolitical power and preserve our freedoms, we must tackle the world's most pressing challenges - including the artificial intelligence arms race - together and head-on. Now is the time for the West to wake up. 'Bold and ambitious ... Essential reading' Eric Schmidt 'Fascinating' Financial Times 'A stirring manifesto' Niall Ferguson 'Provocative and insightful' Jamie Dimon

Hard Power, Soft Belief, and the Future of the West

The Technological Republic

Now in its seventh edition, Ivan Png's Managerial Economics has been extensively revised with new<ul> <li>running case study on competition in large language models among OpenAI, Anthropic, and DeepSeek,</li> <li>section on the experience curve,</li> <li>chapter on oligopoly.</li> </ul>As always, the text focuses on the economics that managers need to know. It presents the key concepts of microeconomics intuitively, without sophisticated mathematics and uses actual management applications from across the world.The seventh edition is enhanced with fresh mini-cases and discussion questions, as well as detailed instructor supplements. It is an ideal text for any course focusing on the practical application of microeconomic principles to management.

Managerial Economics

AI Engineering

Weitere Titel zum Thema