Free Ebooks Download

Fodor's New Mexico (Fodor's Travel Guides), 9th Edition


Fodor's New Mexico (Fodor's Travel Guides), 9th Edition by Fodor's Travel Guides
English | October 13th, 2026 | ISBN: 164097945X | 400 pages | True EPUB | 157.20 MB
Whether you want to visit Santa Fe's art galleries, ride in a hot air balloon outside Albuquerque, or explore Ancestral Puebloan lands, the local Fodor's travel experts in New Mexico are here to help! Fodor's New Mexico guidebook is packed with maps, carefully curated recommendations, and everything else you need to simplify your trip-planning process and make the most of your time. This new edition has been fully redesigned with an easy-to-read layout, fresh information, and beautiful color photos.

Free Ebooks Download

Fit & Healthy Menopause A Brain-Body Approach to Running and Training from Perimenopause to SuperAging


Fit & Healthy Menopause: A Brain-Body Approach to Running and Training from Perimenopause to SuperAging by Kristina Pinto
English | September 29th, 2026 | ISBN: 1646048784 | 304 pages | True EPUB | 7.62 MB
Run, train, and thrive during menopause and beyond with this science-backed guide designed to help women understand and take control of their fitness in this next stage of life.

Free Ebooks Download

Financial AI in Practice A playbook for credit, fraud, and investment systems


Financial AI in Practice: A playbook for credit, fraud, and investment systems
English | 2026 | ISBN: 1633435393 | 464 pages | True PDF | 21.89 MB
Get the eBook free when you register your print book at Manning."Informative, engaging, and well-grounded in the realities and complexities of the financial domain."-Tamer Khraisha, Author of Financial Data EngineeringBanks, insurance companies, mortgage lenders, and other institutions that deal with big money play by different rules than the rest of the software industry. Financial software-including machine learning and AI models-has to survive contact with regulators, risk committees, and real markets.Financial AI in Practiceshows you how to design, ship, and defend AI systems that handle credit decisions, catch fraud, guide investments, and keep customers engaged, all under the constraints of a strictly regulated industry.In this important book, authorTaehun Kimdistills a decade of fintech experience into a repeatable 4-Layer Framework-Data Assets, Modeling, Strategy & Monitoring, and Application. As you go, you'll build AI-first financial systems that take on four real-world challenges-credit scoring, fraud detection, investment, and personalized predictions. You'll start with an end-to-end credit scoring pipeline that trains and deploys an XGBoost model to prepare and validate data, orchestrate recurring workflows, engineer features with Weight of Evidence and Information Value, and deliver verifiable explanations.You'll also take on fraud detection using a tuned Light-GBM classifier with autoencoders that flag anomalous patterns through reconstruction error and a Graph Neural Network in PyTorch that uncovers fraud patterns in transaction networks. For investment, you'll build a hybrid strategy that pairs a Random Forest engine with an LLM-powered news analyst. You'll construct a full RAG pipeline that ingests the exact data sources you need and prompts a structured "LLM Analyst" portfolio advisor with a complete decision log.Finally, you'll turn predictions into revenue with a personalization engine that clusters users by "financial DNA" and an autonomous retention agent with tool-calling and a human-in-the-loop Draft-Approve process. ReviewerChristopher Forbesof OneSpan appreciated how "connecting the 4-Layer Framework to the four business solution streams provides a logical, cohesive roadmap for financial AI."Throughout the 14 hard-hitting chapters and 6 practical appendices,Taehun Kimrefuses to skip the hard parts. Regulatory constraints, model risk, fair lending, hallucinations, cost-latency trade-offs, and the ROI conversation with the boardroom are treated as first-class engineering concerns. ReviewerHasan Bannaof InfinitiLoom Tech summed it up perfectly: "Taehun Kim has clearly built these systems in production environments where regulators ask hard questions and budget holders want ROI in dollars, not AUC points. That experience shows on every page."What's inside* Classic ML techniques paired with cutting edge LLMs* Supervised, unsupervised, and graph-based fraud detection* Defensible, explainable models and pipelines for regulatory oversight* Agentic AI workflows with human-in-the-loop governance.About the readerFor data scientists, ML engineers, product owners, and financial analysts building AI in regulated environments.About the authorTaehun Kimis a Staff Data Scientist at a major NYSE-listed e-commerce company, where he leads financial AI initiatives across fraud detection, credit risk, and large-scale decision systems. He is also a Kaggle Notebooks Grandmaster and an adjunct professor teaching financial AI.Table of ContentsPart 11 Introducing AI in finance2 From model to money: A strategist's guide to real-world financial AI3 Working with generative AI in financePart 24 Risk and compliance: Credit risk fundamentals5 End-to-end credit scoring for financial applications: A real-world AI approach6 Enhancing BFSI scoring workflows: Advanced binning, monitoring, and explainabilityPart 37 Understanding financial fraud and foundational detection strategies8 Building AI fraud detectors: From supervised scoring to anomaly identification9 Unveiling hidden connections: Graph-based analytics for advanced fraud detectionPart 410 Building the quantitative engine: Market direction prediction with machine learning11 Building the qualitative engine with news analysis and LLMs12 Augmenting investment decisions: LLM-guided portfolio allocationPart 513 Enhancing customer experience: Building a personalization engine14 Driving operational efficiency: Building autonomous retention agentsA Setting up your development environmentB Comprehensive fraud typology and modeling referenceC Dataset and feature dictionariesD A quick reference on key financial AI metricsE Translating regulation into engineering requirementsF References and further reading

Free Ebooks Download

Fiber Optics Principles, Communication Systems, Sensors, Testing, and Advanced Optical Technologies


Fiber Optics: Principles, Communication Systems, Sensors, Testing, and Advanced Optical Technologies
English | October 15, 2026 | ASIN: B0HN3XNX69 | 384 Pages | Epub | 47.78 MB
Fiber optics is one of the most important technologies in modern communication, networking, sensing, and photonics. From high-speed internet and data centers to medical instruments, industrial automation, aerospace systems, and advanced sensing, optical fibers provide a powerful medium for transmitting information and measuring physical conditions with high accuracy.Fiber Optics: Principles, Communication Systems, Sensors, Testing, and Advanced Optical Technologies presents a systematic college-level introduction to the physical principles, components, systems, applications, testing methods, and emerging technologies associated with optical fibers. The material progresses from fundamental concepts to advanced topics, making it suitable for undergraduate students, engineering learners, physics students, and readers seeking a strong foundation in fiber-optic technology.The book begins with the fundamentals of light, reflection, refraction, refractive index, and total internal reflection. These principles establish the physical foundation for understanding how light is guided through an optical fiber. The structure and classification of fibers are then examined, including core and cladding, step-index and graded-index fibers, single-mode and multimode fibers, numerical aperture, acceptance cone, and light propagation.The book provides detailed treatment of important transmission limitations such as attenuation and dispersion. Absorption, Rayleigh scattering, bending losses, connector losses, splice losses, modal dispersion, material dispersion, waveguide dispersion, chromatic dispersion, bandwidth, and pulse broadening are explained with appropriate mathematical relationships and practical examples.Optical transmitters and receivers are covered in detail, including LEDs, semiconductor laser sources, PIN photodiodes, avalanche photodiodes, receiver sensitivity, optical noise, and signal detection. The book also examines connectors, splices, couplers, splitters, optical power budgets, and complete fiber-optic communication systems.A dedicated treatment of Wavelength-Division Multiplexing (WDM) explains how multiple optical channels can share a single physical fiber. Fiber-optic network technologies are also explored, including access networks, metropolitan networks, backbone systems, FTTH, passive optical networks, and modern optical infrastructure.Beyond communication, the book introduces fiber-optic sensors and instrumentation, covering intensity-based sensors, interferometric sensors, fiber Bragg gratings, distributed sensing, and fiber-optic gyroscopes. The discussion then advances to fiber amplifiers and advanced optical technologies, including erbium-doped fiber amplifiers, Raman amplification, fiber lasers, optical monitoring, coherent communication, and emerging fiber technologies.The final chapter focuses on applications, testing, troubleshooting, maintenance, and safety. Optical power meters, fault locators, OTDR testing, insertion loss, return loss, fault localization, connector inspection, acceptance testing, and optical-link documentation are explained alongside future developments such as multicore fibers, few-mode fibers, hollow-core fibers, photonic-crystal fibers, space-division multiplexing and advanced distributed sensing.Throughout the book, clear explanations, mathematical formulas, worked numerical examples, technical diagrams, comparison tables, review questions, numerical problems, answers and further-thinking questions support both conceptual learning and practical problem-solving.Whether used as a college-level textbook, self-study reference, or foundation for further study in photonics and optical communication, Fiber Optics provides a structured pathway from the fundamental behavior of light to the advanced optical networks and technologies shaping the future of information transmission.