Whitmore Nicholas (55 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condition: Near Fine. This book has rubbing and surface scratching to both covers, two paper stickers on the front cover, smudging from use most notable on the back cover near the spine, and a slightly shifted spine, otherwise this book is in excellent condition with crisp, unmarked pages, a tight binding, and a clean, glossy cover.…

hardcover. Condition: Good. very clean xlibrary hardcover clean text. solid binding. very light wear. xlibrary marks on outside page edging and inside cover. ISBN matches listing Fast service with confirmation, no international or priority orders over 4lbs.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. The future of artificial intelligence is being built on foundation models-and the engineers who understand how they work will shape the next generation of intelligent systems.Whether you're building large language models, training domain-specific AI, fine-tuning open-source models, or deploying production-ready inference systems, Foundation Model Engineering provides the practical knowledge needed to move beyond theory and into real-world implementation.Unlike books that focus only on machine learning concepts or isolated model architectures, this book follows the complete engineering lifecycle of modern foundation models-from collecting and curating massive datasets to training, fine-tuning, evaluating, optimizing, and deploying models that can reliably serve millions of users.Inside, you'll learn how modern foundation models are actually built and maintained in production environments. You'll discover how to engineer scalable data pipelines, clean and deduplicate web-scale datasets, train efficient tokenizers, understand transformer architectures, perform domain adaptation, implement parameter-efficient fine-tuning techniques such as LoRA, align models for instruction following, evaluate real-world performance, optimize inference with quantization and caching, and design reliable AI systems that balance capability, latency, and cost.Rather than overwhelming you with abstract research or mathematical proofs, this book emphasizes engineering decisions, practical trade-offs, production workflows, and proven implementation strategies used throughout today's AI industry. Every major concept is supported with clear explanations, practical examples, and production-oriented Python code designed to help you build intuition while developing real engineering skills.What You'll LearnUnderstand the evolution from traditional machine learning to foundation models.Master transformer architecture from an engineering perspective.Build high-quality datasets for large-scale model pretraining.Clean, filter, deduplicate, and tokenize massive text corpora.Design scalable data pipelines for distributed training.Understand foundation model pretraining and domain adaptation.Implement parameter-efficient fine-tuning with LoRA and modern PEFT methods.Apply instruction tuning, alignment, and preference optimization.Evaluate foundation models using practical benchmarking techniques.Optimize inference with quantization, batching, KV cache, and efficient serving.Deploy, monitor, and scale foundation models in production environments.Who This Book Is ForMachine Learning Engineers transitioning into foundation model development.AI Engineers building LLM-powered products and services.Data Scientists seeking a deeper understanding of modern language models.Software Engineers moving into Generative AI.MLOps Engineers responsible for deploying and scaling AI systems.Researchers looking for a practical engineering perspective.Graduate students and advanced learners preparing for careers in Artificial Intelligence.Whether you're working with open-source models such as Llama, Mistral, Qwen, DeepSeek, Gemma, or other transformer-based architectures, the engineering principles presented in this book will help you build AI systems that are efficient, scalable, reliable, and ready for production.Foundation models have fundamentally changed artificial intelligence. Success is no longer determined by understanding only the model itself-it depends on mastering the complete engineering ecosystem surrounding it.If you're ready to move beyond using foundation models and start engineering t Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. The ESP32 just changed. Espressif's newest chips, the ESP32-C3, ESP32-C6, and ESP32-H2, are no longer built on the same closed architecture that powered the original ESP32. They now run on RISC-V, an open standard reshaping the entire semiconductor industry. If you're still learning this platform from tutorials written for the old Xtensa chips, you're already behind. This book is built for where the platform is now, not where it used to be.This is not another beginner's guide that stops at blinking an LED. It's a complete, professional-grade course in building real embedded products on the ESP32 RISC-V family, written by a senior embedded systems engineer with over a decade of experience shipping firmware that had to work correctly the first time, in the field, with no room for guesswork.Who this book is forIf you're a software developer moving into embedded systems for the first time, this book bridges that gap directly, explaining exactly where embedded thinking diverges from application programming and why. If you're a hobbyist who has outgrown beginner tutorials and wants to understand what separates a weekend project from a product that can survive months of unattended operation, this book takes you there. And if you're a student or early-career engineer who wants to connect classroom theory to real, working hardware, you'll find that connection on every page.The only prerequisite is a working knowledge of C. Everything else, RISC-V architecture, FreeRTOS, wireless protocols, security, is built from the ground up.What's insideAcross twelve chapters, you'll go from understanding how a RISC-V core actually executes your code to building complete, production-style firmware. You'll master GPIO, interrupts, UART, SPI, I2C, ADC, and PWM. You'll learn FreeRTOS the right way, tasks, queues, semaphores, and timers, so your applications scale without falling apart under real-world conditions. You'll connect your device to Wi-Fi, Bluetooth Low Energy, MQTT, and ESP-NOW. You'll implement secure boot, flash encryption, TLS, and over-the-air updates, the exact mechanisms that protect commercial products in the field. And you'll close the book with three complete, end-to-end projects, a sensor monitoring system, a smart home device, and a remote environmental data logger, plus the testing, version control, and CI practices that keep a real codebase maintainable for years, not just for a demo.Every chapter pairs theory with complete, working ESP-IDF code, not fragments you have to guess how to finish. Every example includes the error handling, memory discipline, and debugging insight that professional firmware actually requires, the details most tutorials skip entirely.What you'll learn: RISC-V architecture and how it differs from the older Xtensa-based ESP32 chipsGPIO, interrupts, UART, SPI, I2C, ADC, PWM, and hardware timersFreeRTOS tasks, queues, semaphores, event groups, and software timersHeap and stack management, NVS storage, and file systems (SPIFFS and FATFS)Wi-Fi, TCP/IP, HTTP clients and serversBluetooth Low Energy, MQTT, and ESP-NOWSecure boot, flash encryption, TLS, and over-the-air firmware updatesDebugging with JTAG and OpenOCD, plus performance and power optimizationThree complete, real-world projects built from start to finishProfessional practices: testing, version control, and continuous integrationWhy it matters nowRISC-V isn't a trend. It's the direction the entire embedded industry is heading, and the engineers who understand it deeply today will be the ones building tomorrow's connected products. Whether you're changing careers, leveling up a hobby, or shipping your first commercial device, this boo Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Neuware.

Condition: New. In English.

Paperback. Condition: new. Paperback. Embedded systems are at the core of today's technology. From automotive control units and industrial automation to medical devices, robotics, consumer electronics, aerospace systems, and the Internet of Things (IoT), ARM-powered microcontrollers drive billions of devices that demand reliability, efficiency, and real-time performance. Building firmware for these systems requires far more than learning the C language. It demands a deep understanding of processor architecture, memory organization, peripheral interfaces, debugging techniques, and the engineering principles that transform code into dependable productsModern Embedded Systems Engineering with ARM is a comprehensive, hands-on guide that takes you beyond basic programming and into the practices used by professional firmware engineers. Rather than focusing on isolated code snippets or beginner-level demonstrations, this book teaches you how to design, build, debug, optimize, and maintain production-quality embedded software for ARM-based microcontrollersYou will begin by developing a solid understanding of ARM Cortex-M architecture, the embedded development workflow, and the relationship between hardware and software. As the chapters progress, you will learn how to write efficient bare-metal firmware, build reusable peripheral drivers, implement hardware abstraction layers, configure interrupts, optimize memory usage, and create scalable firmware architectures that can grow with increasingly complex applicationsPractical implementation is the foundation of this book. Every major concept is reinforced with complete Embedded C examples, detailed engineering explanations, and real-world design techniques that reflect modern firmware development practices. Rather than simply showing what to write, each chapter explains why experienced engineers make specific architectural and implementation decisions, helping you develop the judgment needed to build reliable embedded systemsWhat You Will LearnUnderstand ARM Cortex-M processor architecture and the internal operation of modern microcontrollers.Write efficient, maintainable, and production-ready firmware using Embedded C.Build peripheral drivers for GPIO, UART, SPI, I2C, timers, ADC, DAC, PWM, DMA, and other hardware modules.Design reusable Hardware Abstraction Layers (HAL) that improve portability and maintainability.Configure interrupts and the Nested Vectored Interrupt Controller (NVIC) for responsive real-time applications.Develop event-driven firmware and deterministic embedded software.Build multitasking applications using FreeRTOS and understand task scheduling, synchronization, and inter-task communicationOptimize memory usage, execution speed, and power consumption for resource-constrained devices.Debug embedded applications using professional tools such as JTAG, SWD, GDB, OpenOCD, and SEGGER J-LinkDiagnose hard faults, memory corruption, timing issues, and other challenging firmware problems.Design secure firmware with bootloaders, firmware update mechanisms, and memory protection techniquesApply professional firmware architecture, coding standards, testing strategies, and engineering best practicesUnlike many embedded programming books that concentrate on individual peripherals or introductory concepts, this guide presents embedded systems engineering as a complete discipline. You will learn how hardware, firmware, architecture, debugging, testing, and optimization work together to create dependable embedded products that perform reliably in real-world environments.Whether you are designing industrial controllers, developing IoT devices, building robotics platforms, creating automotive electronics, or advancing your career as an embedded Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. The Model Context Protocol (MCP) is rapidly becoming the industry standard for connecting AI models to real-world tools, APIs, databases, cloud services, and enterprise applications. As organizations increasingly rely on AI assistants and autonomous agents to perform business-critical tasks, security has become one of the most important engineering challenges in modern software development.A single vulnerable MCP server can expose sensitive information, execute unauthorized operations, compromise enterprise infrastructure, or provide attackers with a direct path into critical systems. Traditional API security alone is no longer sufficient. Building secure AI applications requires a new approach to authentication, authorization, trust boundaries, tool execution, prompt-driven threats, and operational security.Modern MCP Security Engineering is a comprehensive, hands-on guide designed to help developers and security professionals build secure, production-ready MCP servers from the ground up. Instead of focusing solely on theory, this book combines practical architecture, real-world implementation strategies, complete code examples, and industry best practices to help you confidently secure AI-powered systems deployed in production.Inside this book, you'll learn how to: Understand the security architecture of the Model Context Protocol (MCP)Identify and mitigate the unique security risks introduced by AI-powered applicationsDesign secure MCP server architectures using security-by-design principlesImplement robust authentication with API Keys, OAuth 2.0, JWTs, and Mutual TLS (mTLS)Build fine-grained authorization using Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC)Validate requests and defend against prompt injection, malicious inputs, and API abuseSecure tool execution through sandboxing, process isolation, execution policies, and resource limitsCreate effective logging, monitoring, and auditing systems for incident detection and responseHarden APIs using secure transport, HTTP security headers, CORS, rate limiting, and network security best practicesProtect secrets, credentials, encryption keys, and sensitive application dataApply secure coding practices throughout the software development lifecycleBuild secure CI/CD pipelines and deploy MCP servers safely in cloud and containerized environmentsDevelop a complete production-ready MCP server that integrates authentication, authorization, validation, logging, monitoring, and operational securityUnlike introductory AI books that simply explain the protocol, this guide focuses on what happens after your AI application works-Every chapter combines practical explanations with realistic implementation examples that reflect how experienced engineering teams design, deploy, and maintain secure AI systems at scale.Who This Book Is ForBackend Software EngineersAI Engineers and LLM Application DevelopersMCP Server DevelopersApplication Security EngineersCloud and Platform EngineersDevOps and Site Reliability Engineers (SREs)API DevelopersSolutions ArchitectsWhether you're building your first MCP server, integrating AI into enterprise applications, or securing large-scale production infrastructure, this book provides the architectural guidance, practical techniques, and implementation strategies needed to build systems that are secure, reliable, and ready for real-world deployment.If you're serious about moving beyond prototypes and creating AI systems that organizations can confidently trust, Modern MCP Security Engineering will give you the knowledge, tools, and proven security pra Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Cybersecurity isn't just about learning tools-it's about learning how attackers think so you can stop them before they succeed.Every day, organizations around the world lose millions of dollars to ransomware, phishing attacks, data breaches, and increasingly sophisticated cyber threats. Businesses, governments, hospitals, financial institutions, and even small companies are searching for professionals who can identify security weaknesses before cybercriminals exploit them.Cyber Ready is your practical guide to developing those skills.Whether you're taking your very first steps into cybersecurity or expanding your existing technical knowledge, this book provides a clear, structured, and hands-on path from the fundamentals of cybersecurity to real-world defensive security practices. Instead of overwhelming you with theory or assuming years of prior experience, it explains complex concepts in plain English while gradually introducing the tools, techniques, and professional mindset used by ethical hackers and cybersecurity professionals every day.Rather than simply teaching commands or software, Cyber Ready helps you understand why attacks succeed, how vulnerabilities are discovered, and how security professionals protect modern digital systems. Every chapter builds on the last, allowing you to develop practical skills with confidence while maintaining a strong understanding of cybersecurity ethics and legal best practices.Inside This Book You'll Learn How To: Think like both an attacker and a defender to better understand cybersecurity.Build a professional cybersecurity lab using virtual machines.Master the Linux command line used by penetration testers and security professionals.Understand networking fundamentals including TCP/IP, DNS, HTTP, ports, and packet flow.Learn Python fundamentals and automate security tasks.Perform reconnaissance, enumeration, and Open-Source Intelligence (OSINT).Identify, assess, and prioritize security vulnerabilities.Understand the complete penetration testing lifecycle.Discover common web application vulnerabilities using safe testing methodologies.Secure operating systems and strengthen network defenses.Learn digital forensics and incident response fundamentals.Prepare for cybersecurity certifications and build a successful career in the industry.Unlike books that focus only on tools, Cyber Ready develops the critical thinking skills that separate professionals from hobbyists. You'll learn how to analyze systems, identify weaknesses, evaluate risk, communicate findings, and approach every assessment with the ethics and professionalism expected in today's cybersecurity industry.Filled with practical examples, real-world scenarios, and step-by-step explanations, this book makes complex security concepts approachable without sacrificing technical depth. Every chapter is designed to help you build knowledge you can immediately apply in your own lab, your studies, or your professional career.Who This Book Is ForStudents studying Cybersecurity, Computer Science, or Information Technology.Beginners looking for a structured introduction to ethical hacking.IT professionalsSystem and Network Administrators who want stronger security skills.Aspiring Penetration Testers and Security Analysts.Software Developers who want to build more secure applications.Professionals preparing for cybersecurity certificationsWhether your goal is to launch a new career, prepare for industry certifications, strengthen your technical skills, or simply understand how today's cyber threats operate, Cyber Ready provides the knowledge, mindset, and Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Hardcover. Condition: Very good. Presumed First Edition, First printing. xi, [1], 409, [3] pages. Formulae, Illustrations. References. Author Index. Name of former owner in ink on fep. Nicholas P. Nicholas P. Jewell is Professor of Biostatistics and Statistics at the School of Public Health at the University of California, Berkeley. Since arriving at Berkeley in 1981, he has held various academic and administrative positions, most notably serving as Vice Provost from 1994 to 2000. He's also served as an Assistant Professor of Statistics at Princeton University (1979-1981), and held academic appointments at the University of Edinburgh, Oxford University, the London School of Hygiene and Tropical Medicine, and at the University of Kyoto. Dr. Jewell is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics and the American Association for the Advancement of Science. He received the 2012 Marvin Zelen Leadership Award in Statistical Science from Harvard University. He is the 2005 winner of the Snedecor Award from COPSS, and won the Distinguished Teaching Award from the University of California, Berkeley's School of Public Health in 2004. In 2000, he was honored by the Director's Award from the Federal Emergency Management Agency for providing "extraordinary leadership and vision in implementing strategies that enhance the disaster resistance of the University of California, Berkeley, and universities throughout America." In addition the 2005 Alfred E. Alquist Award was given to UC Berkeley's SAFER program that he launched and led for many years. He received a doctorate in Mathematics in 1976. Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages. This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the journal Lifetime Data Analysis.…