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Regression Analysis By Example Using R (Wiley Series in Probability and Statistics)
by Samprit Chatterjee Ali S. HadiRegression Analysis By Example Using R A STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSIS In the newly revised sixth edition of Regression Analysis By Example Using R, distinguished statistician Dr Ali S. Hadi delivers an expanded and thoroughly updated discussion of exploratory data analysis using regression analysis in R. The book provides in-depth treatments of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. The author clearly demonstrates effective methods of regression analysis with examples that contain the types of data irregularities commonly encountered in the real world. This newest edition also offers a brand-new, easy to read chapter on the freely available statistical software package R. Readers will also find: Reorganized, expanded, and upgraded exercises at the end of each chapter with an emphasis on data analysis Updated data sets and examples throughout the book Complimentary access to a companion website that provides data sets in xlsx, csv, and txt format Perfect for upper-level undergraduate or beginning graduate students in statistics, mathematics, biostatistics, and computer science programs, Regression Analysis By Example Using R will also benefit readers who need a reference for quick updates on regression methods and applications.
Regression Analysis with Python
by Alberto Boschetti Luca MassaronLearn the art of regression analysis with Python About This Book * Become competent at implementing regression analysis in Python * Solve some of the complex data science problems related to predicting outcomes * Get to grips with various types of regression for effective data analysis Who This Book Is For The book targets Python developers, with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science. What You Will Learn * Format a dataset for regression and evaluate its performance * Apply multiple linear regression to real-world problems * Learn to classify training points * Create an observation matrix, using different techniques of data analysis and cleaning * Apply several techniques to decrease (and eventually fix) any overfitting problem * Learn to scale linear models to a big dataset and deal with incremental data In Detail Regression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. There are many kinds of regression algorithms, and the aim of this book is to explain which is the right one to use for each set of problems and how to prepare real-world data for it. With this book you will learn to define a simple regression problem and evaluate its performance. The book will help you understand how to properly parse a dataset, clean it, and create an output matrix optimally built for regression. You will begin with a simple regression algorithm to solve some data science problems and then progress to more complex algorithms. The book will enable you to use regression models to predict outcomes and take critical business decisions. Through the book, you will gain knowledge to use Python for building fast better linear models and to apply the results in Python or in any computer language you prefer. Style and approach This is a practical tutorial-based book. You will be given an example problem and then supplied with the relevant code and how to walk through it. The details are provided in a step by step manner, followed by a thorough explanation of the math underlying the solution. This approach will help you leverage your own data using the same techniques.
Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale
by Giuseppe CiaburroBuild effective regression models in R to extract valuable insights from real data Key Features Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values From Simple Linear Regression to Logistic Regression - this book covers all regression techniques and their implementation in R A complete guide to building effective regression models in R and interpreting results from them to make valuable predictions Book Description Regression analysis is a statistical process which enables prediction of relationships between variables. The predictions are based on the casual effect of one variable upon another. Regression techniques for modeling and analyzing are employed on large set of data in order to reveal hidden relationship among the variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. The first few chapters give an understanding of what the different types of learning are – supervised and unsupervised, how these learnings differ from each other. We then move to covering the supervised learning in details covering the various aspects of regression analysis. The outline of chapters are arranged in a way that gives a feel of all the steps covered in a data science process – loading the training dataset, handling missing values, EDA on the dataset, transformations and feature engineering, model building, assessing the model fitting and performance, and finally making predictions on unseen datasets. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. The practical examples are illustrated using R code including the different packages in R such as R Stats, Caret and so on. Each chapter is a mix of theory and practical examples. By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects. What you will learn 1. Get started with the journey of data science using Simple linear regression 2. Deal with interaction, collinearity and other problems using multiple linear regression 3. Understand diagnostics and what to do if the assumptions fail with proper analysis 4. Load your dataset, treat missing values, and plot relationships with exploratory data analysis 5. Develop a perfect model keeping overfitting, under-fitting, and cross-validation into consideration 6. Deal with classification problems by applying Logistic regression 7. Explore other regression techniques – Decision trees, Bagging, and Boosting techniques 8. Learn by getting it all in action with the help of a real world case study.Who this book is for This book is intended for budding data scientists and data analysts who want to implement regression analysis techniques using R. If you are interested in statistics, data science, machine learning and wants to get an easy introduction to the topic, then this book is what you need! Basic understanding of statistics and math will help you to get the most out of the book. Some programming experience with R will also be helpful
Regression and Fitting on Manifold-valued Data
by Ines Adouani Chafik SamirThis book introduces in a constructive manner a general framework for regression and fitting methods for many applications and tasks involving data on manifolds. The methodology has important and varied applications in machine learning, medicine, robotics, biology, computer vision, human biometrics, nanomanufacturing, signal processing, and image analysis, etc. The first chapter gives motivation examples, a wide range of applications, raised challenges, raised challenges, and some concerns. The second chapter gives a comprehensive exploration and step-by-step illustrations for Euclidean cases. Another dedicated chapter covers the geometric tools needed for each manifold and provides expressions and key notions for any application for manifold-valued data. All loss functions and optimization methods are given as algorithms and can be easily implemented. In particular, many popular manifolds are considered with derived and specific formulations. The same philosophy is used in all chapters and all novelties are illustrated with intuitive examples. Additionally, each chapter includes simulations and experiments on real-world problems for understanding and potential extensions for a wide range of applications.
Regular Expression Pocket Reference
by Tony StubblebineRegular expressions are such a powerful tool for manipulating text and data that anyone who uses a computer can benefit from them. Composed of a mixture of symbols and text, regular expressions can be an outlet for creativity, for brilliant programming, and for the elegant solution. While a command of regular expressions is an invaluable skill, all there is to know about them fills a very large volume, and you don't always have time to thumb through hundreds of pages each time a question arises. The answer is the Regular Expression Pocket Reference. Concise and easy-to-use, this little book is the portable companion to Mastering Regular Expressions. This handy guide offers programmers a complete overview of the syntax and semantics of regular expressions that are at the heart of every text-processing application. Ideal as an introduction for beginners and a quick reference for advanced programmers, Regular Expression Pocket Reference is a comprehensive guide to regular expression APIs for C, Perl, PHP,Java, .NET, Python, vi, and the POSIX regular expression libraries. O'Reilly's Pocket References have become a favorite among programmers everywhere. By providing a wealth of important details in a concise, well-organized format, these handy books deliver just what you need to complete the task at hand. When you've reached a sticking point and need to get to a solution quickly, the new Regular Expression Pocket Reference is the book you'll want to have.
Regular Expression Pocket Reference: Regular Expressions for Perl, Ruby, PHP, Python, C, Java and .NET
by Tony StubblebineThis handy little book offers programmers a complete overview of the syntax and semantics of regular expressions that are at the heart of every text-processing application. Ideal as a quick reference, Regular Expression Pocket Reference covers the regular expression APIs for Perl 5.8, Ruby (including some upcoming 1.9 features), Java, PHP, .NET and C#, Python, vi, JavaScript, and the PCRE regular expression libraries.This concise and easy-to-use reference puts a very powerful tool for manipulating text and data right at your fingertips. Composed of a mixture of symbols and text, regular expressions can be an outlet for creativity, for brilliant programming, and for the elegant solution. Regular Expression Pocket Reference offers an introduction to regular expressions, pattern matching, metacharacters, modes and constructs, and then provides separate sections for each of the language APIs, with complete regex listings including:Supported metacharacters for each language APIRegular expression classes and interfaces for Ruby, Java, .NET, and C#Regular expression operators for Perl 5.8Regular expression module objects and functions for PythonPattern-matching functions for PHP and the vi editorPattern-matching methods and objects for JavaScriptUnicode Support for each of the languagesWith plenty of examples and other resources, Regular Expression Pocket Reference summarizes the complex rules for performing this critical text-processing function, and presents this often-confusing topic in a friendly and well-organized format. This guide makes an ideal on-the-job companion.
Regular Expression Puzzles and AI Coding Assistants: 24 puzzles solved by the author, with and without assistance from Copilot, ChatGPT and more
by Mertz DavidLearn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs.Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT. Here's how the contest works: David invents 24 Regex problems he calls puzzles and shows you how to tackle each one. When he's done, he has Copilot and ChatGPT work the same puzzles. What they produce intrigues him. Which side is likelier to get it right? Which will write simple and elegant code? Which makes smarter use of lesser known Regex library features? Read the book to find out. David also offers AI best practices, showing how smart prompts return better results. By the end, you'll be a master at solving your own Regex puzzles, whether you use AI or not. About the technology Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software. But how do these AI assistants, like ChatGPT and GitHub Copilot, measure up against regular expressions—a workhorse technology for developers used to describe, find, and manipulate patterns in text. Regular expressions are compact, complex, and subtle. Will AI assistants handle the challenge? About the book Regular Expression Puzzles and AI Coding Assistants is the perfect starting point for programmers of any experience level who want to understand the capabilities—and the limitations—of these exciting new tools. Author David Mertz presents 24 challenging regex puzzles, their traditional human-made solutions, and the fascinating answers given by popular AI assistants. Alongside these eye-opening puzzles you&’ll learn how to write prompts, integrate AI-generated coding suggestions, and interact with the assistant to get the results you want. By the end of the book, you'll have a clear understanding of where AI assistants can reliably write code for you and where you&’ll still need a human touch. Plus, you&’ll learn a lot about regular expressions! About the reader Code examples use simple Python and Regular Expressions. No experience with AI coding tools required. About the author David Mertz is the founder of KDM Training and an acclaimed contributor to the Python community. He is also the author of The Puzzling Quirks of Regular Expressions, Cleaning Data for Effective Data Science: Doing the Other 80% of the Work, and other books. Table of Contents 1 The map and the territory 2 Quantifiers and special sub-patterns 3 Pitfalls and sand in the gears 4 Creating functions using regex 5 Easy, difficult, and impossible tasks 6 Conclusions Appendix A: Learning to use regular expressions
Regular Expressions Cookbook
by Steven Levithan Jan Goyvaerts<p>Take the guesswork out of using regular expressions. With more than 140 practical recipes, this cookbook provides everything you need to solve a wide range of real-world problems. Novices will learn basic skills and tools, and programmers and experienced users will find a wealth of detail. Each recipe provides samples you can use right away.</p>
Regular Expressions Cookbook: Detailed Solutions in Eight Programming Languages (Oreilly And Associate Ser.)
by Steven Levithan Jan GoyvaertsTake the guesswork out of using regular expressions. With more than 140 practical recipes, this cookbook provides everything you need to solve a wide range of real-world problems. Novices will learn basic skills and tools, and programmers and experienced users will find a wealth of detail. Each recipe provides samples you can use right away.This revised edition covers the regular expression flavors used by C#, Java, JavaScript, Perl, PHP, Python, Ruby, and VB.NET. You’ll learn powerful new tricks, avoid flavor-specific gotchas, and save valuable time with this huge library of practical solutions.Learn regular expressions basics through a detailed tutorialUse code listings to implement regular expressions with your language of choiceUnderstand how regular expressions differ from language to languageHandle common user input with recipes for validation and formattingFind and manipulate words, special characters, and lines of textDetect integers, floating-point numbers, and other numerical formatsParse source code and process log filesUse regular expressions in URLs, paths, and IP addressesManipulate HTML, XML, and data exchange formatsDiscover little-known regular expression tricks and techniques
Regular Nanofabrics in Emerging Technologies
by M. Haykel Ben JamaaRegular Nanofabrics in Emerging Technologies gives a deep insight into both fabrication and design aspects of emerging semiconductor technologies, that represent potential candidates for the post-CMOS era. Its approach is unique, across different fields, and it offers a synergetic view for a public of different communities ranging from technologists, to circuit designers, and computer scientists. The book presents two technologies as potential candidates for future semiconductor devices and systems and it shows how fabrication issues can be addressed at the design level and vice versa. The reader either for academic or research purposes will find novel material that is explained carefully for both experts and non-initiated readers. Regular Nanofabrics in Emerging Technologies is a survey of post-CMOS technologies. It explains processing, circuit and system level design for people with various backgrounds.
Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
by Johan A. K. Suykens Marco Signoretto Andreas ArgyriouRegularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vecto
Regulated Grammars and Automata
by Alexander Meduna Petr ZemekThis is the first book to offer key theoretical topics and terminology concerning regulated grammars and automata. They are the most important language-defining devices that work under controls represented by additional mathematical mechanisms. Key topics include formal language theory, grammatical regulation, grammar systems, erasing rules, parallelism, word monoids, regulated and unregulated automata and control languages. The book explores how the information utilized in computer science is most often represented by formal languages defined by appropriate formal devices. It provides both algorithms and a variety of real-world applications, allowing readers to understand both theoretical concepts and fundamentals. There is a special focus on applications to scientific fields including biology, linguistics and informatics. This book concludes with case studies and future trends for the field. Regulated Grammars and Automata is designed as a reference for researchers and professionals working in computer science and mathematics who deal with language processors. Advanced-level students in computer science and mathematics will also find this book a valuable resource as a secondary textbook or reference.
Regulated Open Multi-Agent Systems (ROMAS)
by Emilia Garcia Adriana Giret Vicente BottiAddressing the open problem of engineering normative open systems using the multi-agent paradigm, normative open systems are explained as systems in which heterogeneous and autonomous entities and institutions coexist in a complex social and legal framework that can evolve to address the different and often conflicting objectives of the many stakeholders involved. Presenting a software engineering approach which covers both the analysis and design of these kinds of systems, and which deals with the open issues in the area, ROMAS (Regulated Open Multi-Agent Systems) defines a specific multi-agent architecture, meta-model, methodology and CASE tool. This CASE tool is based on Model-Driven technology and integrates the graphical design with the formal verification of some properties of these systems by means of model checking techniques. Utilizing tables to enhance reader insights into the most important requirements for designing normative open multi-agent systems, the book also provides a detailed and easy to understand description of the ROMAS approach and the advantages of using ROMAS. This method is illustrated with case studies, in which the reader may develop a comprehensive understanding of applying ROMAS to a given problem. The case studies are presented with illustrations of the developments. Reading this book will help readers to understand the increasing demand for normative open systems and their development requirements; understand how multi-agent systems approaches can be used to deal with the development of systems of this kind; to learn an easy to use and complete engineering method for large-scale and complex normative systems and to recognize how Model-Driven technology can be used to integrate the analysis, design, verification and implementation of multi-agent systems.
Regulating Artificial Intelligence
by Thomas Wischmeyer Timo RademacherThis book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.
Regulating Blockchain: Critical Perspectives in Law and Technology
by Robert HerianAs the distributed architecture underpinning the initial Bitcoin anarcho-capitalist, libertarian project, 'blockchain' entered wider public imagination and vocabulary only very recently. Yet in a short space of time it has become more mainstream and synonymous with a spectacular variety of commercial and civic 'problem'/'solution' concepts and ideals. From commodity provenance, to electoral fraud prevention, to a wholesale decentralisation of power and the banishing of the exploitative practices of 'middlemen', blockchain stakeholders are nothing short of evangelical in their belief that it is a force for good. For these reasons and more the technology has captured the attention of entrepreneurs, venture capitalists, global corporations and governments the world over. Blockchain may indeed offer a unique technical opportunity to change cultures of transparency and trust within cyberspace, and as ‘revolutionary’ and ‘disruptive’ has the potential to shift global socioeconomic and political conventions. But as a yet largely unregulated, solutionist-driven phenomenon, blockchain exists squarely within the boundaries of capitalist logic and reason, fast becoming central to the business models of many sources of financial and political power the technology was specifically designed to undo, and increasingly allied to neoliberal strategies with scant regard for collective, political or democratic accountability in the public interest. Regulating Blockchain casts a critical eye over the technology, its ‘ecosystem’ of stakeholders, and offers a challenge to the prevailing discourse proclaiming it to be the great techno-social enabler of our times.
Regulating FinTech in Asia: Global Context, Local Perspectives (Perspectives in Law, Business and Innovation)
by Steven Van Uytsel Mark Fenwick Bi YingThis book focuses on Fintech regulation in Asian, situating local developments in broader economic, regulatory and technological contexts. Over the last decade, Fintech – broadly defined as the use of new information technologies to help financial institutions and intermediaries compete in the marketplace – has disrupted the financial services sector. Like other 21st century technological developments, Fintech is a global phenomenon that plays out in local economic, political and regulatory contexts, and this dynamic interplay between global trends and local circumstances has created a complex and fast-changing landscape. Diverse stakeholders (most obviously incumbent financial service providers, tech start-ups and regulators) all pursue a competitive edge against a background of profound uncertainty about the future direction and possible effects of multiple emerging technologies. Compounding these difficulties are uncertainties surrounding regulatory responses. Policymakers often struggle to identify appropriate regulatory responses and increasingly turn to policy experimentation. Such issues add to the challenges for the various actors operating in the Fintech space. This situation is particularly fluid in Asia, since many jurisdictions are seeking to establish themselves as a regional hub for new financial services.
Regulating Hate Speech Created by Generative AI
by Jay LiebowitzRegulating Hate Speech Created by Generative AI explores the new hybrid space of Human Machine Interaction (HMI) in which hate speech is represented and computed through algorithms and AI generative systems. The book is exploratory because there are still many problem-solving challenges to be faced. It is also innovative because it is not assuming that solutions lie only in technological advancements but on a broader scale. In this sense, large language models can and are being considered from a holistic view (i.e., from the different dimensions and layers of regulatory and legal governance). Highlights of the book include: Generative AI and social engines of hate An introduction to generative Artificial Intelligence application, trends, and ethics The mechanics and validation of generative AI outcomes An evaluation of Generative AI for hate speech detection Best practices and key considerations for AI regulation Using GenAI capabilities for early detection of threats in the digital environment. This book is a hard look at ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book examines guidelines for regulating generative AI models, so they do not contribute to online hate disinformation and imagery.
Regulating Speech in Cyberspace
by Emily B. LaidlawPrivate companies exert considerable control over the flow of information on the internet. Whether users are finding information with a search engine, communicating on a social networking site or accessing the internet through an ISP, access to participation can be blocked, channelled, edited or personalised. Such gatekeepers are powerful forces in facilitating or hindering freedom of expression online. This is problematic for a human rights system which has historically treated human rights as a government responsibility, and this is compounded by the largely light-touch regulatory approach to the internet in the west. Regulating Speech in Cyberspace explores how these gatekeepers operate at the intersection of three fields of study: regulation (more broadly, law), corporate social responsibility and human rights. It proposes an alternative corporate governance model for speech regulation, one that acts as a template for the increasingly common use of non-state-based models of governance for human rights.
Regulating eTechnologies in the European Union
by Tanel KerikmäeThe EU strategy 2020 includes ambitious plans for e-regulation that could improve Europe's competitiveness. However, the European states have very different legal frameworks in this field. This book introduces flagship initiatives and provides a detailed overview and analysis of the current standards and latest developments, offering practical insights and guidelines for practitioners and policy-makers alike. Further, as it discusses the main areas of e-regulation, it can serve as a useful platform for university education in light of the growing need for new kinds of specialists, i. e. IT lawyers. The book concentrates on fields that are directly affected by e-regulation such as cyber-security, databases, computer programs, e-governance, IP and competition law and informatics.
Regulating the Metaverse: A Critical Assessment (Routledge Research in the Law of Emerging Technologies)
by Ignas Kalpokas Julija KalpokienėThe metaverse seems to be on everybody’s lips – and yet, very few people can actually explain what it means or why it is important. This book aims to fill the gap from an interdisciplinary perspective informed by law and media and communications studies. Going beyond the optimism emanating from technology companies and venture capitalists, the authors critically evaluate the antecedents and the building blocks of the metaverse, the design and regulatory challenges that need to be solved, and commercial opportunities that are yet to be fully realised. While the metaverse is poised to open new possibilities and perspectives, it will also be a dangerous place – one ripe with threats ranging from disinformation to intellectual property theft to sexual harassment. Hence, the book offers a useful guide to the legal and political governance issues ahead while also contextualising them within the broader domain of governance and regulation of digital technologies.
Regulation Fixtures in Hydronic Heating Installations: Types, Structures, Characteristics and Applications (Studies in Systems, Decision and Control #187)
by Damian Piotr MuniakThe book focuses on design and computational issues related to fixtures and armatures in hydronic heating installations, especially regulation valves, their selection, operating principles, types and construction. The analysis is complemented by connection diagrams, drawings, photos of the valves and computational examples of their selection and operation parameters when used in a pipework and a controlled object, like a radiator. It also discusses issues related to the so-called valve authority, one of the main parameters determining the quality of the valve regulation process. Further, it includes an extensive theoretical framework along with a detailed mathematical analysis and proposes new algorithms, which have been verified and confirmed experimentally. Based on this analysis, the book presents the author’s analytical approach for sizing a regulation valve, as well as an innovative design solution for a regulation valve without the limitations of the valves currently available on the market. Lastly, it introduces a new verified method of calculating the valve pre-setting. Intended for engineers dealing with heating issues, scientists and students studying environmental engineering, energetics and related fields, the book is also useful for lecturers, designers, and those operating heating installations, as well as authors of computer programs for thermal and hydraulic balancing of heating installations.
Regulation of Innovative Technologies: Blockchain, Artificial Intelligence and Quantum Computing
by Rosario Girasa Gino J. ScalabriniThis book explores the regulation of emerging technologies. Developments such as bitcoin (based on blockchain technology), artificial intelligence, quantum computing, and other technical advances have the potential to revolutionize many aspects of everyday life. As with other significant occurrences, especially when coupled by financial rewards, there are the inevitable attempts to reap gains unlawfully. This book examines the legal and regulatory enactments that attempt to undermine the risks to society as well as the dangers to individual freedoms that the technologies present when abused by governmental and non-governmental authorities. Included are discussions of the dangers to the right of privacy posed by facial recognition, physical location tracking, automated license plate recognition (ALPR) and other evolving applications of technology. This book is an invaluable resource for those interested in the regulation of emerging technologies particularly as they relate to blockchain, artificial intelligence, and the most current advances in quantum computing. Emphasis is focused on invasion of privacy, particularly by government authorities, antitrust implications of private companies and the efforts of international entities to counter alleged abuses by them.
Regulatory Competition in the Digital Economy: Artificial Intelligence, Data, and Platforms (Advanced Studies in Diginomics and Digitalization)
by Lars Hornuf Michael DengaThe digital economy is reinvigorating regulatory competition, yet little is known about which rules and jurisdictions can effectively bind companies nor what competitive motivations underlie certain rules. In addition to purely economic motives, legislators are now also driving the pursuit of digital sovereignty and the enforcement of social values in digital spaces. It also remains unclear what regulatory weight the self-regulation of private companies has in multi-level governance systems. This book examines regulatory competition in the three main pillars of digital markets: artificial intelligence, data, and platforms. It brings together legal scholars, economists and information systems experts, providing relevant examples and structured analysis of the aims and outcomes of regulatory competition in the digital economy. “A timely exploration of the balancing acts regulators must perform to manage private power in a globalized digital economy. Essential for understanding the intersection of law, economics, and technology in the contemporary digital ecosystem.” Jens Frankenreiter, Associate Professor of Law, Washington University “The book by Denga and Hornuf provides a comprehensive and timely exploration of the intricate regulatory challenges posed by big data, artificial intelligence, and platforms in the Digital Single Market. If offers critical insights for policymakers, scholars, and businesses navigating this evolving landscape.” Philipp Hacker, Professor for Law and Ethics of the Digital Society, European University Viadrin “Artificial Intelligence is fundamentally disrupting how we enable economic growth and how we regulate fair competition. Luckily, Denga and Hornuf provide a detailed and comprehensive overview of the thorniest and most complex regulatory issues while at the same time offering thoughtful and feasible solutions. "Regulatory Competition in the Digital Economy" is a treasure trove for anyone interested in market regulation, fair competition, consumer protection, and geopolitical questions.” Sandra Wachter, Professor of Technology and Regulation, Oxford Internet Institute
Regulierung von Künstlicher Intelligenz in der EU: Praxisbezogene Lösungsansätze für die Sicherheit von KI-Anwendungen (Vertrauenswürdige KI)
by Rainer Bernnat Jordan PötschDieses Buch bietet eine praxisorientierte Einführung in die Regulierung von Künstlicher Intelligenz (KI) in der EU. Es vereint theoretisches Wissen mit konkreten Handlungsempfehlungen zur Umsetzung von KI-Standards und Gesetzen, insbesondere im Rahmen des EU AI Acts. Durch eine speziell entwickelte Systematik werden KI-relevante Gesetze und Standards systematisch erfasst und bewertet. Führungskräfte, CISOs und Cybersecurity-Experten erhalten wertvolle Einblicke, wie sie die Vertrauenswürdigkeit von KI-Systemen in ihren Organisationen gewährleisten können. Ein besonderer Schwerpunkt liegt auf der Integration von KI in bestehende Sicherheitsstrukturen sowie der Nutzung bewährter Frameworks.
Reguläre Ausdrücke
by Jeffrey E. F. FriedlReguläre Ausdrücke sind ein leistungsstarkes Mittel zur Verarbeitung von Texten und Daten. Wenn Sie reguläre Ausdrücke noch nicht kennen, wird Ihnen dieses Buch eine ganz neue Welt eröffnen. Aufgrund der ausgesprochen detaillierten und tiefgründigen Behandlung des Themas ist dieses Buch aber auch für Experten eine wahre Trouvaille. Die neue Auflage dieses anerkannten Standardwerks behandelt jetzt auch die Unterstützung regulärer Ausdrücke in PHP sowie Suns java.util.regex. Der klare und unterhaltsame Stil des Buchs hat schon Tausenden von Programmierern das an sich trockene Thema nähergebracht, und mit den vielen Beispielen zu Problemen aus dem Programmieralltag ist Reguläre Ausdrücke eine praktische Hilfe bei der täglichen Arbeit. Reguläre Ausdrücke sind überall Sie sind standardmäßig in Perl, PHP, Java, Python, Ruby, MySQL, VB.NET und C# (und allen Sprachen des .NET-Frameworks) sowie anderen Programmiersprachen und Werkzeugen eingebaut. Dieses Buch geht detailliert auf die Unterschiede und Gemeinsamkeiten bei der Behandlung regulärer Ausdrücke in diesen Sprachen und Werkzeugen ein. Besonders ausführlich werden die Regex-Features von Perl, Java, PHP und .NET behandelt. Reguläre Ausdrücke sind mächtig Reguläre Ausdrücke sind sehr leistungsfähig und flexibel. Dennoch bleibt ihre Anwendung oft unter ihren Möglichkeiten. Mit regulären Ausdrücken können Sie komplexe und subtile Textbearbeitungsprobleme lösen, von denen Sie vielleicht nie vermutet hätten, daß sie sich automatisieren lassen. Reguläre Ausdrücke ersparen Ihnen Arbeit und Ärger, und viele Probleme lassen sich mit ihnen auf elegante Weise lösen. Reguläre Ausdrücke sind anspruchsvoll Was in der Hand von Experten eine sehr nützliche Fähigkeit ist, kann sich als Stolperstein für Ungeübte herausstellen. Dieses Buch zeigt einen Weg durch das unwägbare Gebiet und hilft Ihnen, selbst Experte zu werden. Wenn Sie die regulären Ausdrücke beherrschen, werden sie zu einem unverzichtbaren Teil Ihres Werkzeugkastens. Sie werden sich fragen, wie Sie je ohne sie arbeiten konnten.