D'autres livres qui pourraient vous intéresser

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  Modern Endonasal Rhinoplasty...

  Pietro Palma

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  Salient Features Volume 2
  
  The Second volume provides the reader with a step-by-step guide to developing the fundamental skills of a rhinoplasty surgeon. Septoplasty has evolved from a reductive operation to a carefully designed reconstructive operation often aided by endoscopy.
  
  The approach to rhinoplasty has been clearly defined and demonstrated through specific cases. Osteotomies and graft technics are explained in a progressive manner. The chapters relating to tip surgery unravel the mystery surrounding this topic.
  
  The nasal dorsum, alar base, and specific clinical scenarios enable the reader to tackle some of the most difficult issues in rhinoplasty. Finally, surgeons famed for their excellence in the open-approach discuss their views on endonasal surgery.

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  Azure AI Data Scientists...

  Manish Soni

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  Azure AI Data Scientists Associate DP 100 Certification Guide is a meticulously structured resource designed to equip professionals with the knowledge and expertise necessary to harness the full potential of Azure’s artificial intelligence and machine learning capabilities. In today’s data-driven world, organizations increasingly rely on AI-driven solutions to enhance decision-making and drive innovation. This certification serves as a validation of proficiency in designing, building, training, and deploying machine learning models at scale using Microsoft Azure. Covering essential topics such as data preparation, model training, deployment strategies, and the implementation of machine learning workloads, this guide provides a comprehensive foundation for professionals seeking to establish or advance their careers in AI and data science. 
  Beyond theoretical knowledge, this book emphasizes hands-on learning, enabling candidates to engage with real-world scenarios and practical exercises that mirror industry challenges. By systematically navigating the complexities of Azure AI services, candidates will develop the skills necessary to design intelligent solutions that address complex business problems. Whether you are a seasoned data professional looking to enhance your expertise or an aspiring data scientist embarking on a new journey, Microsoft Azure AI Data Scientists Associate (DP-100) Certification Guide serves as a definitive companion, reinforcing your technical capabilities and preparing you for certification success. We trust that the knowledge and skills gained through this book will empower you to excel in the field of artificial intelligence and drive meaningful innovation in your professional endeavors.

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  Information Theory and Coding...

  Daniel Garfield

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  "Information Theory and Coding for Beginners: An Introduction to the Principles and Applications of Data Compression and Error Correction" is a comprehensive guide to the field of Information Theory and Coding. Written for readers with little to no background in this area, this book offers a clear and engaging introduction to the principles and applications of data compression and error correction. 
  The book covers the fundamentals of Information Theory, including basic concepts and terminology, Shannon's Information Theory, and compression and transmission rates. It then explores source coding techniques, such as Huffman Coding, Arithmetic Coding, and Lempel-Ziv-Welch Coding, as well as lossy compression methods like Transform Coding and Predictive Coding. The book also covers channel coding techniques, including error detection and correction methods like Parity Checking, Checksums, and Cyclic Redundancy Check (CRC), and error-correcting codes like Block Codes, Convolutional Codes, Turbo Codes, and LDPC Codes. 
  Through a series of real-world applications, the book illustrates the importance of Information Theory and Coding in data compression and error correction for various fields, including wireless communication, optical communication, and storage systems. It also examines emerging trends and technologies in the field, such as Quantum Information Theory, Network Coding, and Machine Learning in Coding. 
  "Information Theory and Coding for Beginners" provides a comprehensive and accessible guide to the principles and applications of data compression and error correction. With clear explanations, real-world examples, and practical applications, this book is an essential resource for anyone interested in understanding the fundamental principles of Information Theory and Coding. 
   

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  Developing to Scale - Technology...

  Heidi Morefield

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  The first critical book on “appropriate technology,” Developing to Scale shows how global health came to be understood as a problem to be solved with the right technical interventions. 
    
  In 1973, economist E. F. Schumacher published Small Is Beautiful, which introduced a mainstream audience to his theory of “appropriate technology”: the belief that international development projects in the Global South were most sustainable when they were small-scale, decentralized, and balanced between the traditional and the modern. His theory gained widespread appeal, as cuts to the foreign aid budget, the national interests of nations seeking greater independence, postcolonial activism, and the rise of the United States’ tech sector drove stakeholders across public and private institutions toward cheaper tools. In the ensuing decades, US foreign assistance shifted away from massive modernization projects, such as water treatment facilities, toward point-of-use technologies like village water pumps and oral rehydration salts. This transition toward the small scale had massive implications for the practice of global health. 
    
  Developing to Scale tells the history of appropriate technology in international health and development, relating the people, organizations, and events that shaped this consequential idea. Heidi Morefield examines how certain technologies have been defined as more or less “appropriate” for the Global South based on assumptions about gender, race, culture, and environment. Her study shows appropriate technology to be malleable, as different constituencies interpreted its ideas according to their own needs. She reveals how policymakers wielded this tool to both constrain aid to a scale that did not threaten Western interests and to scale the practice of global health through the development and distribution of technical interventions.

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  AI Ethics and Governance for...

  Aria Westwood

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  This audiobook is narrated by an AI Voice. In *AI Ethics and Governance for Beginners*, you'll find a clear, accessible introduction to the key issues surrounding artificial intelligence today. This book covers essential topics such as how AI systems work, potential risks and biases, and their societal impacts. You'll learn about responsible data management, accountability, and the importance of human-centered approaches. Designed for new learners, it provides practical insights for anyone interested in understanding and engaging with AI’s ethical challenges. By the end, you'll have a solid foundation to think critically about the responsible development and use of AI. 
   
  Benefits: 
  - Understand the fundamental principles of AI ethics and governance. 
  - Recognize common risks, biases, and societal consequences of AI systems. 
  - Learn about responsible data practices, privacy, and consent. 
  - Gain insights into how organizations can implement accountable AI strategies. 
  - Develop a confident, informed perspective on the future impact of AI in society. 
   
  Tagline:   
  Building a mindful approach to AI’s responsible future.

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  101 Prompts for Claude Code That...

  Chris Sullivan

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  This audiobook is narrated by an AI Voice. Are you tired of the 45-minute back-and-forth sessions with Claude Code that should take 10 minutes? You type a request, get code that looks right but breaks something else, then spend hours debugging what should have been a simple task. This is the "Loot Box Problem," and it's killing your productivity. 
   
  101 Prompts for Claude Code That Actually Work eliminates this frustration by applying battle-tested prompt engineering techniques that turn vague requests into surgical instructions. Claude Code executes flawlessly on the first attempt. 
   
  Written by Chris Sullivan, a mechanical engineer turned AI developer who learned these techniques building production systems for logistics, healthcare, and fintech companies, this book treats prompt engineering for developers as a hard skill with measurable results. 
   
  Master the Four-Component Framework That Changes Everything: 
   
  Inside, you'll discover the exact anatomy of prompts that work: Context, Task, Constraints, and Verification. Learn the Explore-Plan-Code-Commit workflow that prevents costly mistakes and eliminates the guesswork from AI-assisted software development. 
   
  From Project Setup to Production Deployment: 
  • Start Smart: Architectural planning prompts that prevent technical debt before it starts 
  • Build Systematically: Context-aware feature addition that respects existing codebase patterns 
  • Debug Like a Pro: Investigation prompts that trace problems to root causes, not symptoms 
  • Test Comprehensively: Generate unit tests, integration tests, and end-to-end test suites that actually catch regressions 
  • Deploy Confidently: Pre-deployment checklists, CI/CD pipeline setup, and rollback procedures that protect your users 
  • Refactor Safely: Systematic code improvement without introducing new bugs

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