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Everyday English Vocabulary: 500 Words to Speak Like a Native
English | September 8, 2026 | ASIN: B0HJ6HXNB1 | 486 pages | Epub | 473.71 KB
Everyday English Vocabulary: 500 Words to Speak Like a NativeDo you understand English but struggle to find the right words when speaking? Do you want to expand your vocabulary, understand everyday conversations, and express yourself more naturally?Everyday English Vocabulary: 500 Words to Speak Like a Native is a practical vocabulary guide designed to help English learners learn and use the words that matter most in real-life communication.Instead of memorizing complicated or rarely used vocabulary, you'll focus on 500 useful everyday English words that can help you communicate more clearly and confidently at home, at work, while traveling, and in social situations.Inside the Book, You'll Discover:500 essential English words commonly used in everyday communicationSimple, easy-to-understand meaningsPractical example sentences for real-life situationsUseful word combinations and collocationsCommon phrasal verbs and conversational vocabularyNatural alternatives to basic English wordsVocabulary for work, study, travel, shopping, food, technology, and social conversationsWords for expressing feelings, opinions, reactions, and ideasPractice activities to help you remember and use new vocabularyA 30-day vocabulary challenge to build a consistent learning habitLearn More Than Words-Learn How to Use ThemKnowing a word is only the beginning. The real goal is being able to recognize it, understand it, and use it naturally when speaking or writing.Each vocabulary entry is presented in a practical format so you can quickly understand the word, see it in context, and practice using it yourself.Whether you're a beginner building your foundation or an intermediate learner who wants to speak more naturally, this book can help you develop a stronger everyday English vocabulary.Perfect For:English learners and adult studentsBeginners and intermediate English speakersPeople improving their spoken EnglishESL/EFL learnersStudents preparing for everyday communicationProfessionals who want stronger English vocabularyTravelers who want practical EnglishAnyone who wants to speak English with greater confidenceStart with one word at a time, practice it in context, and build a vocabulary you can actually use.

Euclid and His Modern Rivals: Enriched edition. A Witty Victorian Polemic on Geometry, Euclid's Principles, and Modern Mathematical Interpretations
English | May 29, 2022 | ASIN: B0B31T5CDP | 423 pages | EPUB (True) | 1.49 MB
In "Euclid and His Modern Rivals," Charles Lutwidge Dodgson, better known as Lewis Carroll, presents a critical examination of the evolution of geometric thinking as illustrated through a humorous yet incisive polemic against contemporary interpretations of Euclidean geometry. Set against the backdrop of the late 19th century, this work combines mathematical rigor with literary wit, employing a distinctive style that merges logical argumentation with playful satire. Dodgson meticulously critiques modern geometrists, including their deviations from Euclid's foundational principles, effectively bridging the gap between abstract mathematics and accessible prose while stimulating discourse on the philosophy of mathematics. Dodgson's mathematical background, rooted in his position as a lecturer at Christ Church, Oxford, profoundly influenced this work. His dual interests in mathematics and literature coalesce in this text, revealing his conviction that rigorous mathematical reasoning can co-exist with a whimsical narrative style. This intermingling of disciplines reflects the Victorian age's tension between tradition and innovation in education, positioning Dodgson as a pivotal figure in this intellectual landscape. "Euclid and His Modern Rivals" is a must-read for anyone interested in the philosophy of mathematics, the history of geometry, or the interplay between logic and creativity. Dodgson's acerbic wit and profound insights make this book not only intellectually stimulating but also a delight to read, inviting both scholars and general readers to reconsider their understanding of geometry.In this enriched edition, we have carefully created added value for your reading experience:- A succinct Introduction situates the work's timeless appeal and themes.- The Synopsis outlines the central Description, highlighting key developments without spoiling critical twists.- A detailed Historical Context immerses you in the era's events and influences that shaped the writing.- An Author Biography reveals milestones in the author's life, illuminating the personal insights behind the text.- A thorough Analysis dissects symbols, motifs, and character arcs to unearth underlying meanings.- Reflection questions prompt you to engage personally with the work's messages, connecting them to modern life.- Hand‐picked Memorable Quotes shine a spotlight on moments of literary brilliance.- Interactive footnotes clarify unusual references, historical allusions, and archaic phrases for an effortless, more informed read.

Enterprise LLM Fine-Tuning with Python : Adapt and Deploy Domain-Specific Language Models for Compliance-Ready AI Across Healthcare, Finance, and Legal
English | September 21, 2026 | ASIN: B0HKGR4JC4 | 472 pages | Epub | 508.51 KB
Your fine-tuned model just hallucinated a citation that does not exist, or reconstructed a patient name from training data, or missed a qualification that changes a financial disclosure's meaning. Generic LLM fine-tuning tutorials never warn you this happens. This book shows Python engineers exactly how to build fine-tuned language models for healthcare, finance, and legal environments where these failures carry real regulatory and legal consequences.Most fine-tuning resources stop at LoRA configuration and a loss curve. This book Enterprise LLM Fine-Tuning with Python : Adapt and Deploy Domain-Specific Language Models for Compliance-Ready AI Across Healthcare, Finance, and Legal starts where they end: a complete, working Python pipeline that takes raw regulated data through HIPAA and GDPR compliant ingestion, domain-specific parameter-efficient fine-tuning, a four-test-set evaluation framework, and a deployment architecture with PII filtering, audit logging, and citation verification built in from the start.Every chapter delivers runnable code grounded in real enterprise deployments at organizations including JPMorgan Chase, A&O Shearman, and Mass General Brigham, plus the documented production failures that show exactly what happens when compliance is treated as an afterthought instead of a design constraint.By the end of this book, you will be able to:- Build a HIPAA Safe Harbor de-identification pipeline in Python before any training data is touched- Configure LoRA and QLoRA fine-tuning for clinical, financial, and legal domain tasks on a single GPU- Construct instruction-tuning datasets with inter-annotator agreement checks and full data lineage- Apply a four-test-set evaluation framework that catches catastrophic forgetting and regulatory adherence failures- Build a citation grounding architecture that flags hallucinated legal references before they reach a user- Deploy fine-tuned models with real-time PII filtering, prompt injection defense, and structured audit logging- Scale inference with vLLM and TGI while accounting for GPU provisioning costs and latency requirements- Update production models safely using replay buffers and elastic weight consolidation without losing prior accuracy- Assemble a compliance-grade model card and regulatory submission package directly from pipeline artifacts- Build an LLMOps monitoring system that tracks regulatory drift independently of model accuracy metricsThe book follows a single compliance-first framework from the first chapter to the last: every data, training, and deployment decision produces a documented artifact before the next step begins, so the resulting system is something your compliance and legal teams can actually approve rather than something built first and explained afterward.This book is for Python-proficient machine learning engineers and AI practitioners at enterprises in regulated industries who need to move beyond generic fine-tuning tutorials into production systems that survive a compliance review.If your next model needs to satisfy more than a benchmark, start building it correctly from chapter one.

Engineering AI at Scale: Building Fast, Deterministic Production Pipelines
English | September 21, 2026 | ASIN: B0HKH4KBW7 | 485 pages | Epub | 2.06 MB
Reactive PublishingBuild High-Performance, Production-Grade AI Pipelines That Scaling Systems Can Actually Depend On.Moving AI models from research to production is where most modern software systems break down. While training a model or making an API call is easy, building reliable infrastructure that processes high-throughput data with predictable performance, minimal latency, and zero non-deterministic failure is a massive engineering challenge.In Engineering AI at Scale, Ethan Crossley delivers a practical, blueprint-driven guide to architecting deterministic, resilient AI infrastructure behind modern applications.Whether you are scaling LLM workflows, handling real-time inference pipelines, or managing distributed data orchestration, this book bridges the gap between machine learning concepts and rigorous software engineering practices.Inside, you will discover:Deterministic Pipeline Design: How to eliminate unpredictable race conditions, unhandled edge cases, and non-deterministic behavior in complex AI systems.Latency & Throughput Optimization: Strategies for building low-latency, high-availability pipelines that handle massive concurrent requests without crashing under load.Scalable Data Orchestration: Practical patterns for chunking, streaming, caching, and processing large datasets efficiently across distributed environments.Observability & Error Recovery: How to set up effective logging, trace execution flows, and build automated fallbacks for brittle third-party APIs and model failures.Production-Ready Architecture: Real-world architectural blueprints for integrating vector stores, queuing systems, and asynchronous workers into existing backend systems.Stop relying on brittle scripts and fragile API wrappers. Learn how to design, build, and deploy AI infrastructure that scales seamlessly with your business.

Engineering AI Systems: From Models to Production
English | September 14, 2026 | ASIN: B0HJPLZT29 | 299 pages | Epub | 344.12 KB
Engineering AI Systems: From Models to Production is a practical guide to building reliable AI systems beyond the model itself. It covers system architecture, data and context, retrieval-augmented generation, workflows and agents, evaluation, security, reliability, observability, deployment, performance, and cost.Designed for software engineers, AI/ML practitioners, architects, and researchers, the book focuses on the engineering decisions required to turn AI capabilities into dependable production systems.From models that work to systems that deliver.

Electrical Engineering Fundamentals for Beginners: An Introduction to Circuits, Voltage, Current, Power, Components, Measurements, and Essential Electrical Principles
English | August 27, 2026 | ASIN: B0HGT1BSXS | 100 pages | Epub | 157.38 KB
What if you could finally understand the principles behind the systems that power the modern world even if you have no prior experience?Many beginners find engineering difficult not because they lack ability, but because complex concepts are often introduced through confusing terminology, complicated formulas, and explanations that assume prior knowledge. Trying to understand how different electrical quantities relate to one another, how components work together, how circuits behave, or how to interpret measurements can quickly become overwhelming when there is no clear learning path. Without a solid foundation, even simple calculations can become frustrating, and more advanced concepts may seem impossible to understand. This can leave students, aspiring technicians, DIY enthusiasts, and curious learners unsure of where to begin or how to build their knowledge with confidence.This book provides a clear and practical starting point for developing that foundation. Concepts are presented in a logical progression, beginning with the essential principles every newcomer needs to understand before moving toward circuit behavior, electrical components, AC and DC systems, electromagnetism, transformers, and measurement techniques. Important relationships and formulas are explained in an accessible manner, while practical examples help connect theoretical ideas to situations you are likely to encounter in real-world applications. Rather than overwhelming you with unnecessary technical detail, the book focuses on the key knowledge needed to understand how electrical systems function and how the different concepts connect with one another.With this book, you can:Build a strong foundation without requiring extensive prior knowledgeUnderstand essential electrical concepts and their practical relationshipsLearn how to approach basic circuit analysis with greater confidenceRecognize common components and understand their purposesUnderstand the differences between AC and DC systemsGain a practical introduction to electromagnetism, motors, generators, and transformersLearn the fundamental principles behind electrical measurementsDevelop better problem-solving and analytical thinking skillsUnderstand important electrical formulas and how to apply themBuild knowledge that can support further study and technical trainingDevelop greater awareness of electrical safety and responsible practicesWhether you are a student preparing for further study, an aspiring technician building your technical knowledge, a hobbyist who wants to understand how electrical systems work, or simply someone looking for a straightforward introduction, this book gives you a practical foundation you can build upon.Start building your electrical engineering knowledge today and take the first step toward understanding the systems, circuits, and technologies that shape the world around you.

Edge AI and On-Device Machine Learning
English | September 20, 2026 | ASIN: B0HKTHDN7Z | 217 pages | EPUB (True) | 364.16 KB
Edge AI and On-Device Machine Learning is a practical engineering guide to running models where the data is generated - on phones, embedded devices, and in browsers. It starts from a single observation: the default location for inference is shifting from the cloud to the edge, and the teams that understand the constraints and trade-offs of edge deployment will build the products that win.The book walks through the full stack - the case for edge AI and where it fits, hardware tiers from microcontrollers to mobile NPUs to browser GPUs, quantization and post-training compression, knowledge distillation for small students, pruning and structured compression, the mobile inference runtimes (TFLite, Core ML, ONNX Runtime, NCNN, MNN), browser-based ML with WebAssembly and WebGPU, TinyML on microcontrollers, federated learning and differential privacy, on-device training and adaptation, deployment and update mechanisms, evaluation methodology for edge systems, security and adversarial robustness, and the trends reshaping the field.It covers the failure modes that quietly wreck edge deployments: a model that runs at 30 FPS on a flagship phone and 2 FPS on a mid-range device, a quantization step that reduces accuracy by fifteen points on the tail, a runtime that selects a slow kernel because hardware capabilities were misdetected, an update that exceeds the device's storage budget and fails silently, a TinyML model that fits in flash but not in RAM at inference time, an NPU that falls back to CPU and adds seconds to every inference. Each is presented with the failure, the countermeasure, and the operational tradeoff.Fourteen chapters, ~50,000 words. Real Python code with TensorFlow Lite, Core ML, ONNX Runtime, TensorFlow.js, TensorFlow Model Optimization, and TinyML. Written for engineers who need models to work on real devices, not just in a notebook.

Early Spanish Voyages to the Strait of Magellan
English | 6 Nov. 2025 | ASIN: B0FZWJH8PG | 319 pages | Epub | 5.54 MB
Early Spanish Voyages to the Strait of Magellan by Sir Clements R. Markham is a masterful reconstruction of one of the most daring and dramatic chapters in maritime history - the sixteenth-century Spanish attempts to navigate the perilous waters at the tip of South America. Drawing upon rare manuscripts, official reports, and journals preserved in the archives of Seville and Madrid, Markham brings to life the courage, ambition, and tragedy of the explorers who followed in Magellan's wake in their search for empire and glory.The book chronicles the voyages of Loaysa, Sarmiento, and other forgotten captains whose ships braved the furious storms and labyrinthine channels of Patagonia. Markham's meticulous research transforms these little-known expeditions into vivid epics of endurance and failure, revealing the navigators' struggles not only against the sea, but against mutiny, starvation, and the unyielding desolation of the southern world. His narrative captures both the grandeur and futility of Spain's quest to control the gateway between the Atlantic and Pacific - a saga of human courage overshadowed by nature's indifference. Beyond its drama, Early Spanish Voyages to the Strait of Magellan illuminates the broader spirit of discovery that defined the Renaissance. Markham's scholarship restores to the historical record the bravery of men who, though overshadowed by Magellan's fame, expanded the boundaries of the known world. For lovers of exploration, maritime history, and the literature of discovery, this volume stands as a testament to the endurance of human ambition at the very edge of the earth.

ETHER AND TIME IN ELECTROMAGNETISM: Emmanuel Adesanya
English | June 26, 2022 | ISBN: None | 35 Pages | EPUB (True) | 798.03 KB
This book describes how time and electricity with magnetism and motion with gravity are a single framework. This also describes the ultimate irreducible foundation of nature and how it operates in matter.

Docker & Kubernetes Crash Course: The Fastest Path from Zero to Production
English | October 14, 2026 | ASIN: B0HN36LY1Q | 162 pages | Epub | 411.30 KB
From Containers to Cloud-Native Confidence: Build, Deploy, and Scale with ConfidenceHave you ever struggled to make an application run consistently across different environments? Do unfamiliar deployment commands, confusing configurations, and endless troubleshooting leave you wondering how experienced engineers manage modern applications? Are you ready to turn that frustration into practical skills you can use in real projects?Docker & Kubernetes Crash Course: The Fastest Path from Zero to Production offers a structured, practical guide to understanding containerization, application orchestration, and modern software deployment.Instead of getting lost in complicated explanations or disconnected tutorials, you will follow a clear learning path that connects the fundamentals to real-world engineering practices.Inside this book, you will learn how to:- Understand containerization, images, containers, and the architecture behind modern application environments.- Build efficient images, write better Dockerfiles, and manage application dependencies.- Run multi-container applications and handle networking, volumes, and persistent data.- Understand Kubernetes clusters, Pods, Deployments, Services, and essential networking concepts.- Configure applications using environment variables, ConfigMaps, Secrets, and persistent storage.- Improve reliability through health probes, resource management, scaling, rolling updates, and rollbacks.- Strengthen application security and understand access control, monitoring, logging, and deployment automation.- Troubleshoot common failures systematically and prepare applications for dependable production operation.Imagine taking an application from your development machine, packaging it into a container, deploying it to a cluster, and understanding how to investigate problems when something goes wrong. This book helps you build the knowledge to approach that process with greater clarity and confidence.Whether you are a developer expanding your deployment skills, an aspiring DevOps engineer, or a technology enthusiast exploring cloud-native systems, the explanations and practical guidance will help you connect individual tools into a complete workflow.You do not need to master everything overnight. You need a solid foundation, a sensible learning sequence, and the confidence to practice what you learn.Take the next step in your technical journey. Get your copy of Docker & Kubernetes Crash Course today and start building the skills to deploy, manage, and scale modern applications with confidence.