{"product_id":"data-ethics-with-r-fairness-bias-detection-and-trustworthy-analytics-9798253551967","title":"Data Ethics with R: Fairness, Bias Detection, and Trustworthy Analytics","description":"\u003cp\u003e • Author(s): Walton Bryant\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDATA ETHICS WITH R: FAIRNESS, BIAS DETECTION, AND TRUSTWORTHY ANALYTICS\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eDETECT BIAS, PROTECT PRIVACY, AND BUILD RESPONSIBLE MODELS\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMost data science books teach you how to build models.\u003cbr\u003eThis one teaches you how to build models that don't break trust, trigger risk, or fail under real-world scrutiny.\u003c\/p\u003e\u003cp\u003eIf you're working with data in R and deploying models that influence decisions credit, healthcare, hiring, risk scoring then accuracy alone is not enough. Hidden bias, poor data practices, and lack of transparency can destroy the value of your system, no matter how good the metrics look.\u003c\/p\u003e\u003cp\u003eThis book is built for practitioners who want to move beyond theory and actually implement ethical, audit-ready data systems.\u003c\/p\u003e\u003cp\u003eInside, you'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eDetect and measure bias using real R workflows and fairness metrics\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eClean and prepare data without introducing hidden distortions\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eBuild models that balance performance with fairness\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eApply explainability tools like SHAP and LIME for real audit scenarios\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eImplement privacy techniques including differential privacy and data masking\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eDesign reproducible, traceable pipelines that stand up to regulatory review\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eMonitor deployed models for drift, bias, and system failure in real time\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis is not a compliance checklist. It's a system-level approach to building data products that last.\u003c\/p\u003e\u003cp\u003eWhether you're a data scientist, analyst, machine learning engineer, or technical decision-maker, this book shows you how to turn ethical data practices into a competitive advantage by building systems that are not just accurate, but trustworthy, transparent, and defensible.\u003c\/p\u003e\u003cp\u003eIf your models are making decisions that matter, this book will show you how to build them the right way.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47775701532823,"sku":"9798253551967","price":1676.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798253551967.webp?v=1777991942","url":"https:\/\/atlanticbooks.com\/products\/data-ethics-with-r-fairness-bias-detection-and-trustworthy-analytics-9798253551967","provider":"Atlantic Books","version":"1.0","type":"link"}