Altri libri che potrebbero interessarti

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  Interpretability and...

  Aruna Chakkirala

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  Demystify AI Decisions and Master Interpretability and Explainability Today
  Book Description
  Interpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, making it easier to debug, validate, and trust.
  Interpretability and Explainability in AI Using Python takes you on a structured journey through interpretability and explainability techniques for both white-box and black-box models.
  You’ll start with foundational concepts in interpretable machine learning, exploring different model types and their transparency levels. As you progress, you’ll dive into post-hoc methods, feature effect analysis, anchors, and counterfactuals—powerful tools to decode complex models. The book also covers explainability in deep learning, including Neural Networks, Transformers, and Large Language Models (LLMs), equipping you with strategies to uncover decision-making patterns in AI systems.
  Through hands-on Python examples, you’ll learn how to apply these techniques in real-world scenarios. By the end, you’ll be well-versed in choosing the right interpretability methods, implementing them efficiently, and ensuring AI models align with ethical and regulatory standards—giving you a competitive edge in the evolving AI landscape.
  Table of Contents
  1. Interpreting Interpretable Machine Learning
  2. Model Types and Interpretability Techniques
  3. Interpretability Taxonomy and Techniques
  4. Feature Effects Analysis with Plots
  5. Post-Hoc Methods
  6. Anchors and Counterfactuals
  7. Interpretability in Neural Networks
  8. Explainable Neural Networks
  9. Explainability in Transformers and Large Language Models
  10. Explainability and Responsible AI      
  
  Index

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  The Program Architect - Applied...

  Javid Ur Rahaman

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  This audiobook is narrated by an AI Voice. 
  A human remained in the loop. The loop had no place where a human could have known. 
   
  That is not a model failure. It is a framing failure wearing a model failure's clothes, and it is the seam this book takes apart: what a machine may infer, what a person must decide, and who answers when the two come apart. 
   
  Applied Human Intelligence is the deliberate use of human judgment where inference ends. Framing the question. Designing the evidence. Deciding what the numbers are allowed to mean. Owning the consequence. 
   
  Data inference supplies the estimate, the pattern, the ranked option, and on well-specified repeated work it is often faster, cheaper, and more accurate than the people it displaces. It has never once supplied the accountability. A system can be corrected, retrained, rolled back, or switched off. None of those is a sanction. 
   
  Javid Ur Rahaman has spent 25 years on Oracle and SAP estates, in Dallas, Irving, Bangalore, and a dozen places between. He heads Applied Intelligence at AAI Research Labs. 
   
  The working kit: The Inference-Judgment Boundary and The Four Standings. The Five Grades of Evidence. The Baseline-First Rule and The Evidence Charter. The Load-Bearing Register and The Range Discipline. The Decidable Gate and The Assurance Spine. The Distress Signature and The Benefit Ledger. The Diligence Inference Map. 
   
  This edition is the study text for AHI-PA, Applied Human Intelligence: Program Architect, a credential of AAI Research Labs. The syllabus is published free, and buying this book is never a condition of sitting the examination. AHI-PA is not accredited by, affiliated with, endorsed by, or aligned to any other certification body, and no such claim is made anywhere in the book. 
   
  For program directors, transformation leads, PMO and assurance leaders, and integration managers who have to prove what they delivered.

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  The AI Mirror - How to Reclaim...

  Shannon Vallor

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  For many, technology offers hope for the future—that promise of shared human flourishing and liberation that always seems to elude our species. Artificial intelligence (AI) technologies spark this hope in a particular way. They promise a future in which human limits and frailties are finally overcome—not by us, but by our machines. Yet rather than open new futures, today's powerful AI technologies reproduce the past. Forged from oceans of our data into immensely powerful but flawed mirrors, they reflect the same errors, biases, and failures of wisdom that we strive to escape. Our new digital mirrors point backward. They show only where the data say that we have already been, never where we might venture together for the first time. 
   
   
   
  To meet today's grave challenges to our species and our planet, we will need something new from AI, and from ourselves. 
   
   
   
  Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

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  Cloud Computing for Beginners -...

  James Ferry

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  "Cloud Computing for Beginners" is your essential guide to navigating the dynamic world of cloud technology with confidence and clarity. This comprehensive beginner's manual offers a thorough exploration of the power and potential of cloud computing, providing readers with the knowledge and skills needed to harness its full capabilities. 
  In this accessible and informative book, you'll embark on a journey through the fundamentals of cloud computing, demystifying complex concepts and terminology along the way. From understanding the underlying principles of cloud technology to exploring its practical applications in everyday life and business, this guide covers all the essentials to help you build a solid foundation in cloud computing. 
  Discover how cloud computing enables individuals and businesses to access computing resources on demand, scale their infrastructure dynamically, and drive innovation with agility. Learn about the different types of cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), and how they can be tailored to meet diverse needs and objectives. 
  With practical examples, real-world case studies, and hands-on exercises, "Cloud Computing for Beginners" equips you with the tools and techniques to leverage cloud technology effectively. Whether you're a complete novice or an IT professional looking to expand your skills, this book provides the guidance and insights you need to navigate the ever-evolving landscape of cloud computing with confidence. 
  Empower yourself with the knowledge and understanding to harness the full power and potential of cloud technology. Whether you're a student, entrepreneur, or business leader, "Cloud Computing for Beginners" is your indispensable companion on the journey to mastering cloud computing and unlocking a world of possibilities. 
   

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  The Fox Shrew and You - How...

  Rogier B. Mars

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  A leading neuroscientist describes the long evolutionary process that led to the human brain. 
  Our human brain is both unique and similar to that of other species. The only way we can trace its evolution is by comparing it to the brains of animals alive today. In this book, leading neuroscientist Rogier Mars offers an engaging account of the evolution of the brain by exploring the brains and cognitive capacities of animals from the humble sea squirt to the socially minded fox and the tiny shrew. 
  By examining the challenges that different animals and their ancestors faced, Mars shows that we can understand what drove the evolution of their brains. Early vertebrates became predators of the sea; mammals evolved a complex neocortex to deal with foraging for high-energy food; and social primates adapted to contend with a fast-changing environment in which groups of individuals team up to get food. Over the course of a long evolutionary road, the ancestors of present-day animals and their descendants continually adapted to challenges, modifying their brains again and again. For us humans, this process gradually led to a brain that is capable of so much, from inventing language to traveling into space. 
  Mars leads listeners across eras and species, showing us how we resemble our animal cousins, how we differ from them, and how animals in one branch of the evolutionary tree did the hard evolutionary work of becoming human.

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  Relaxing Rain - Natural Rain...

  Relaxing Rain Therapy

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  Natural Rain Sounds for Sleeping, Meditation & Stress Relief. 
   
  The pitter-patter and splashing of raindrops has a calming effect, probably because it takes us back to a time before we were born. We hear similar sounds in our mother's womb. The monotony and evenness of the rain relaxes and calms us so that we can sleep better. 
   
  WHAT YOU GET:12 hours of soothing rain!nine rain melodies, recorded with state-of-the-art recording technology for unique audio quality. Soft to heavy rain in HD stereo, perfect for falling asleep, for use in wellness and meditation areas, for radio/film/television, or as soft background sound.four bonus tracks combining soothing rain sounds and dreamlike relaxation music. 
   
  All recordings instantly provide considerable inner peace and can also be very helpful for those suffering from tinnitus. Immerse yourself in a world of boundless relaxation. 
   
  Lena Maria Herzig, from Basel, Switzerland, is a passionate author, yoga teacher, and globetrotter. Since 2011, she has been travelling the world as a "digital nomad," creating wonderful audio books on her travels that touch, inspire, and change the lives of many people.

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