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Gesamtkatalog

Catalogue complet

Master the hidden capabilities of Excel and related applications, crafting tools to help you and others become blackbelts in analysis.

For students and practitioners interested in developing their skills in the construction of analytical tools and visual demonstrations in Excel.&nbsp;Covering everything from the basics of working in Excel, to a variety of critical analytical and custom visual techniques, and programmatic approaches to developing seamless professional tools.

Bendoly Elliot: Excel Basics to
Blackbelt

Excel Basics to Blackbelt

An Accelerated Guide to Decision Support Designs

Section 1. Getting Oriented: 1. Necessary Foundations for Decision Support; 2. The Common Development Environment; 3. Acquisition, Cleaning and Consolidation; Section 2. Structuring Intelligence: 4. Estimating and Appreciating Uncertainty; 5. Visualizing Estimates, System Dynamics and Risk; Section 3. Prescription Development: 6. The Analytics of Solution Search; 7. Searches in Highly Complex and Uncertain Landscapes; Section 4. Advanced Automation and Interfacing: 8. VBA Editing and Code Development; 9. Application and User Interfacing; Glossary of Key Terms; Appendix A: Workbook Shortcut (Hot Key) Reference; Appendix B: Blackbelt Ribbon Add-In Tools and Functions.

A Cultural History of Computer Graphics presents a fundamentally new approach to analyzing digital images aesthetically through the example of 3D computer graphics (CG). While numerous methods for creating digital imagery have long existed, the advent of AI-generated content is causing a rise in debates and conflict. It is becoming increasingly difficult to differentiate digital photographs, CG, and AI images, and yet, because these types of images carry different cultural or even political implications, it is becoming increasingly important to do so. In response to the need of new methods to culturally decode digital imagery, this book starts from the production process and describes computer graphics as an independent method of expression, containing a specific ideological concept of realism. Through this study, it becomes clear that a particular understanding of the world is inscribed in computer graphics software development and consequently the image creation process, and it becomes necessary to perceive production aesthetically, hence there is a focus on production aesthetics. In its own unique way, every digital imaging method embodies its own sense of the world. This book will be of great interest to researchers of computer graphics, 3D image generation, and the cultural history of computer-generated imagery.

A Cultural History of Computer Graphics

Wendepunkte in der Analogen und Digitalen Welt

Routledge International Handbooks

The Routledge Handbook to Qualitative Accounting Research Methods

Data is critical to ensuring the success of any business. A strong data governance programme can help any organization ensure that its data is high-quality, secure and accessible.

Effective Data Governance is a step-by-step guide for mid to senior data professionals to design a simplified data governance programme that meet the needs of their organization. Covering all of the processes, roles, standards and metrics to ensure the effective and efficient use of data within an organization, data governance is essential for every business. Beginning with an explanation of the importance of data governance and its challenges, this book covers how to plan your data governance approach, build a data governance framework and write a tailored data governance policy.

This book also describes how to setup and identify the key roles and responsibilities connected to data in an organization. It shows you how to identify the right process, resolve data quality issues, manage data risk and controls and track your progress. With real-world examples on how to implement the right type of data governance programme, this actionable guide is the key to the successful use of data.

Design a Framework that Works for Your Organization

Effective Data Governance

Deep Learning in Computer Vision

Multi-Agent Control Systems

Design and implement a strategic workforce plan to meet your business goals with this practical guide written for senior HR practitioners.

Design, Implement and Measure Workforce Plans to Drive Business Results

The Strategic Workforce Planning Handbook

UCLA Center for Middle East Development CMED

Saudi Arabia's Transformation: Uncertainty and Sustainability offers a compelling account of the Kingdom's ambitious journey to reshape its future under Saudi Vision 2030.This book explores how Saudi Arabia is redefining itself through sweeping economic diversification, investment in renewable energy, and a renewed emphasis on innovation and human development. It delves into the intricate balance between modernization and cultural preservation, showing how reforms in education, healthcare, and social empowerment are interwoven with a commitment to national identity. By situating these changes within a wider regional and global context, the authors reveal how Saudi Arabia's transformation not only impacts its own people but also shapes broader conversations on sustainability and reform in the Middle East.An essential resource for scholars, policymakers, and readers interested in development and Middle Eastern studies, this book illuminates the opportunities and challenges that define Saudi Arabia's path toward a more sustainable and globally engaged future.

Uncertainty and Sustainability

Saudi Arabia's Transformation

Mathematical Methods, Econometrics, and Data Science

Discrete Choice Models

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Anthem Ethics of Personal Data Collection

Examines the evolving landscape of data privacy and ethics, arguing that businesses can build trust and drive growth by adopting transparent, consumer-focused data frameworks beyond legal compliance

Data privacy continues to be an important topic for discussion throughout changing technology, business, and legislation landscapes. The U.S. legislation continues to shift state-by-state, resulting in changes that are often difficult for companies to keep up with. This is (one reason) why businesses should adopt their own data framework principles to guide their business strategy. Developing data guidelines or principles is the practice of a business voluntarily going beyond data privacy legislation to create and implement a data collection and usage framework that prioritizes customer relationships through a lens of transparency and control. 
The book explores how consumer data are currently collected from everyday interactions, surveys, website usage, purchases, and more, then examines how that information feeds data and business strategies for companies around the world. Data collection is often complex-it requires different kinds of technology and uses different validation methods, all across different pieces of data-and this complexity can lead to issues with accuracy and tracking of when and how consumer data are used. Data are used to drive business strategies by helping companies find their most loyal users, bring in new customers, and increase usage, among other things. An underlying guide for data principles can lead to improved accuracy in data collection, help businesses stay transparent with consumers, generate more trust, and ultimately, increase business performance. 
As consumers become more educated and more aware about what data are collected and how they are used by companies, there is a growing need for businesses to develop a relationship with their consumers built on trust and mutual value. There is currently a gap between the amount of data collected, its usage, and how consumers trust and value the companies with which they do business. 
Finally, this book discusses how businesses can bridge that gap, between consumer trust and effective business strategy by developing their own set of data guidelines and principles that can improve business growth. These strategies are designed to help drive consumer trust by treating consumers like real people and understanding the relationship between data collection, usage, and consumer trust.

How Applied Data Principles Drive Trust and Business Growth

Navigating Data Standards in Business Strategy

Excel Basics to Blackbelt

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