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Ananthaswamy Anil: Why Machines Learn

Why Machines Learn

The Elegant Math Behind Modern AI

Prologue 1 CHAPTER 1 Desperately Seeking Patterns 7 CHAPTER 2 We Are All Just Numbers Here 26 CHAPTER 3 The Bottom of the Bowl 64 CHAPTER 4 In All Probability 95 CHAPTER 5 Birds of a Feather 144 CHAPTER 6 There’s Magic in Them Matrices 176 CHAPTER 7 The Great Kernel Rope Trick 206 CHAPTER 8 With a Little Help from Physics 242 CHAPTER 9 The Man Who Set Back Deep Learning (Not Really) 277 CHAPTER 10 The Algorithm that Put Paid to a Persistent Myth 302 CHAPTER 11 The Eyes of a Machine 346 CHAPTER 12 Terra Incognita 382 Epilogue 415 Acknowledgments 431 Notes 435 Index 455

A dramatic new future of work in which managers assemble exactly the expertise they need—within minutes. A USA Today Bestseller Thinkers50 Talent Award Shortlist The Next Big Idea Club: “October 2025 Must-Read Books” 2026 PROSE Award Winner: Business, Finance, and Management 2026 Axiom Business Book Awards: Gold Medal, Business Disruption/Reinvention Shortlisted for the 2026 getAbstract International Book Award, Business Impact category "If you’ve ever wished you could assemble your version of The Avengers at work, this book will help you make it happen.” —Adam Grant, #1 New York Times-bestselling author of Think Again and host of the podcast Re:Thinking Gone are the days of static organizational charts and staffing based on the manager’s rolodex and intuition. Now you can recruit any expertise you need from a global online network within minutes: an on-demand, on-the-spot expert at the exact moment that you need their help. You can right-size their involvement, too; some of those experts give a second opinion or a moment of brainstorming, whereas others join as full-fledged team members for a sustained collaborative effort. This is the future promised by flash teams, a model that The New York Times has already praised for its “revolutionary potential”: a world where experts are available anytime and everywhere, where remote work has become a norm, and where AI is in the loop to guide team decisions. In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face. They distill lessons from their own work assembling and managing flash teams on demand that every manager can learn from so they can successfully use flash teams in their own organizations. Drawing on original research and industry examples, this book will help readers to: <ul><li>Recognize and source needed expertise within minutes</li><li>Anticipate and plan team designs with AI</li><li>Redesign team structures on the fly as projects evolve</li></ul> Industries are already being transformed by this new approach to teaming. Flash Teams arms leaders, managers, and entrepreneurs with the tools they need to accomplish their goals with confidence, speed, and agility.

Leading the Future of AI-Enhanced, On-Demand Work

Flash Teams

Wiley Finance

The handbook to unleash the power of AI in Finance with guidance to pragmatically managing AI Risk Are you ready to harness the transformative potential of artificial intelligence and machine learning in finance while effectively managing the associated risks? "AI and Risk Management in Finance: A Practitioner's Handbook" by Sri Krishnamurthy, CFA, is your indispensable guide. Tailored for financial professionals, this comprehensive handbook delivers practical insights, case studies, and frameworks to navigate the complex landscape of AI and ML in the financial sector. This pragmatic handbook, developed primarily for professionals involved in designing, developing, and deploying AI models in the financial industry explores cutting-edge technologies, regulatory landscapes, and pragmatic frameworks. From generative AI to robust risk management strategies, this handbook equips you with the tools you need to validate models, ensure compliance, and operationalize AI risk management effectively. Leveraging lessons from QuantUniversity's AI and Machine Learning Risk Management program offered in 18 countries, this book focuses on enabling practitioners apply the state-of-the-art AI and machine learning techniques factoring unique risks specific to the financial services domain. Whether you're a seasoned professional or a newcomer, this book offers invaluable insights for harnessing the power of AI responsibly in the financial industry. Highlights of the Book: <ul> <li>Machine Learning and AI in Financial Services: Dive into the fundamentals of ML and AI, exploring various applications within the financial industry through real-world case studies.</li> <li>Generative AI and LLMs in Finance: Understand the emerging landscape, key players, and advanced concepts like prompt engineering and fine-tuning with practical examples.</li> <li>Risk Management for AI/ML Applications: Learn about current and emerging regulatory landscapes, AI risk management frameworks, and legislative efforts shaping the field.</li> <li>Data Governance Issues: Address critical aspects of data quality, privacy, security, and governance, with actionable frameworks and illustrative case studies.</li> <li>Model and System Governance: Gain insights into validating machine learning models, quantifying model risk, and ensuring robust system governance with MLOps and model monitoring.</li> <li>Key Risk Assessment Facets: Focus on documentation, explainability, fairness, security, and reliability with detailed case studies.</li> <li>Verification and Validation: Distinguish between verification and validation and learn frameworks for effective AI application validation.</li> <li>Algorithmic Auditing: Conduct comprehensive algorithmic audits with detailed processes and real-world examples.</li> <li>Operationalizing AI Risk Management: Discover ten essential strategies for implementing AI risk management practices effectively in your organization.</li> </ul> Prepare for the future of finance with expert advice and actionable strategies. Don't miss out on this comprehensive guide-your roadmap to navigating AI and risk management in the financial sector.

A Practitioner�s Guide to Machine Learning, Generative AI, Agentic Systems, and Responsible Deployment

AI and Risk Management in Finance

This textbook offers a lively and topical discussion of how digital technologies impact various aspects of organizations, such as structure, knowledge, collaboration, communication, identity, legitimacy and power. Taking a critical and nuanced approach, this engaging textbook introduces readers to central themes in organization studies and reflects on how changes brought about by digitalization have important implications for private, public and voluntary organizations, and on practical disciplines such as strategy, management, innovation and entrepreneurship. Contemporary case studies drawn from a wide range of international organizations demonstrate the real-world relationship between digital technologies and organizing. In addition to providing a comprehensive account of the role of technology in shaping organizational features, Digital Organizing concentrates on one particular type of digital technology, namely those with a developed user interface - such as social networking, wikis and collaboration software. The authors argue that these 'second generation' digital technologies, which offer almost seamless navigation and interaction, entail a unique redistribution and realignment of knowledge, expertise, resource and human resources that lead to a fundamental shift in the way organizations are structured and arranged. Updated to take into account the societal changes that have occurred regarding home working since the pandemic, this is an essential textbook for final year undergraduates, postgraduates and MBA students taking a module in technology and organization. It is also suitable for any student of organizational studies wanting to understand more about the role that the digital plays in contemporary organizing.

Digital Organizing

Design AI-powered learning experiences that drive engagement, performance and measurable business impact. Learning Experience Design by Donald Clark is a strategic guide for senior learning professionals who need to modernize learning in an AI-driven world. As organizations adopt generative technologies, this book shows how to move beyond outdated course-led models and build adaptive, human-centred learning ecosystems. Focusing on the evolving role of the learning designer, this updated edition combines learning science, data insight and AI capability to help you design scalable, personalized and effective learning strategies. Drawing on research and real-world examples, it addresses the critical challenges of engagement, ethics and skills sustainability. You will learn how to: -Design AI-enabled learning experiences that adapt to learner needs - Use data, context and performance signals to personalize learning - Integrate simulations, games and workflow learning effectively - Employ ethical AI use and support sustainable skills development - Lead AI learning projects and embed learning into daily work This book equips you to lead the transformation of learning, delivering smarter, scalable and more impactful outcomes across your organization. Themes include: learning experience design, AI in learning, adaptive learning, workplace learning, learning strategy, performance support

How to Build Effective Learning in the Age of AI

Learning Experience Design

Artificial Intelligence and Blockchain in International Arbitration offers an exhaustive analysis of technology-assisted arbitration across the entire arbitral lifecycle by examining how blockchain and artificial intelligence are used in drafting and concluding arbitral agreements, in the constitution of the tribunal, in the overall procedural management of the case, on evidence and disclosure, on virtual hearings, and even on arbitral award drafting. It delves deeper into the limitations of automation, the non-delegable roles of arbitrators, and the compatibility of digital procedures with core arbitration principles such party autonomy, due process, equality of arms, secrecy, and impartiality. Additionally, it examines how new technologies interact with private international law, with the consent of the parties, the relevant legislation and how these technologies can be incorporated into arbitration without going against public policy, without violation due process rights and, in that way ensuring enforcement under the New York Convention.This book, by examining how blockchain and artificial intelligence are changing arbitral practice, provides a fresh and topical viewpoint on current debates in international arbitration and explores how these technological advancements are reshaping arbitration foundations while posing ethical challenges about the future of arbitration.

Artificial Intelligence and Blockchain in International Arbitration

This is the updated and expanded edition of the only radical, multidisciplinary, international introduction to intellectual property in its socio-economic contexts. Bringing together voices from law, sociology, economics, political science, and cultural studies from across the Global North and Global South, experts and activists Mat Callahan and Jim Rogers offer a detailed history and analysis of IP before asking critical questions designed to underscore its importance in the broader struggle between capital and the commons. What are the broader implications of IP, whether for agribusiness, pharmaceuticals, education, or entertainment? Is IP law a fundamental pillar of our culture, or has it been used to protect and assert the ownership of, and thus limit, the spread of ideas and creativity? With a chapter structure moving from historical and theoretical foundations to industry-specific conflicts and policy analysis, this book covers the breadth and depth of IP areas, including patents, copyrights, trademarks, and trade secrets, as well as emerging issues such as digital rights and biotechnology. Key features include: - voluminous, up-to-date case studies, both Western and non-Western; - an extensive, jargon-busting list of abbreviations of specialized or technical terms; - a new chapter on copyright and socialism; - revisions and updates accounting for the seismic impacts of artificial intelligence. This is a foundational must-read for all researchers, students, and activists interested in critical analyses of IP laws and policies--not just their legal frameworks, but also their broader social, economic, and political implications.

A Radical Guide to the Past, Present, and Future of the Ownership of Ideas

Rethinking Intellectual Property

The Promise and Peril of Navigating Our Agentic AI Future

When Machines Act

The fourth edition of Cybercrime and Digital Forensics provides a concise, cohesive exploration of all forms of cybercrime, including cyberterrorism and cyberwarfare, in an international context. This new edition includes:<ul> <li> A detailed chapter-by-chapter exploration of specific forms of cybercrime, ranging from hacking and malware to fraud to various sexual and interpersonal crimes and even online illicit markets;</li> <li>An updated discussion of criminological theories;</li> <li>Up-to-date examinations of the laws pertaining to cybercrime across the world, inclusive of Australia, Canada, the EU, India, the UK, and the US;</li> <li>Explanations of generative Artificial Intelligence (AI), with examples in each chapter of the ways AI is facilitating cybercrime and transforming the landscape of cybercrime regulation;</li> <li>A detailed history of digital forensics, as well as the current processes of evidence collection and analysis;</li> <li>Examples of real-life cybercrime, cyberterror, and cyberwarfare incidents from around the world.</li> </ul> This text is essential reading for courses on cybercrime, cyber-deviance, digital forensics, cybercrime investigation, and the sociology of technology.

An Introduction to Theory, Policy, and Practice

Cybercrime and Digital Forensics

Platform Supply Chains in the AI Era

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale. It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

Risk Management

Platform Supply Chains 5

What goals are still feasible for the politics of emancipation on a ruined planet?This is where we are. Today's techno-oligarchs are not concerned with saving the planet; rather, they have accepted the end of progress and are focused on safeguarding their wealth in the face of an impending political and ecological collapse. Artificial intelligence and algorithms make decisions for us. Climate breakdown has long steamed past the wreckage of the Paris Agreement.Perhaps the accelerationists have the right idea. Accelerationism - which aims to resolve the current crisis through the intensification of technological development - is the only philosophy not clinging to the now-extinct idea of progress. The idea has gained ground on both the left and right: but the right-wing is shot through with misanthropy, while the left remains entangled in a faith in technological progress and the domination of nature.Transcending capitalism at the end of progress requires a synthesis of the two. The result of this synthesis: Dark Socialism. From 'rock star philosopher' Kohei Saito comes an anticapitalist clarion call for our breakneck times, channeling despair into a socialist project equal to the end of progress.

Hope in a Ruined World

Dark Socialism

Why Machines Learn

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