{"product_id":"a-b-testing-and-multi-armed-bandits-with-r-build-high-converting-experiments-with-sequential-testing-thompson-sampling-and-ucb-9798253557778","title":"A\/B Testing and Multi-Armed Bandits with R: Build High-Converting Experiments with Sequential Testing, Thompson Sampling, and Ucb","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\u003eA\/B Testing and Multi-Armed Bandits with R\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eBuild High-Converting Experiments with Sequential Testing, Thompson Sampling, and UCB\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMost A\/B tests fail where it matters most\u003cb\u003e in real-world systems where timing, traffic, and uncertainty cannot be controlled\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eIf you are still running fixed experiments and waiting weeks for results, you are already losing performance, revenue, and learning opportunities.\u003c\/p\u003e\u003cp\u003eThis book shows you how to move beyond static testing into \u003cb\u003eadaptive experimentation systems that learn and optimize in real time\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eInstead of treating experimentation as a one-time analysis, you will learn how to build systems that: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eContinuously allocate traffic to better-performing variants\u003c\/li\u003e\n\u003cli\u003eAdapt instantly to changing user behavior\u003c\/li\u003e\n\u003cli\u003eMake statistically valid decisions without waiting for fixed sample sizes\u003c\/li\u003e\n\u003cli\u003eScale from simple tests to full production decision engines\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInside this book, you will learn how to: \u003c\/p\u003e Build A\/B testing pipelines in R that are production-ready\u003cbr\u003e Implement multi-armed bandit algorithms including epsilon-greedy, UCB, and Thompson Sampling\u003cp\u003e Apply sequential testing methods without inflating false positives\u003cbr\u003e Use Bayesian A\/B testing for probability-based decision making\u003cbr\u003e Design contextual bandits for real-time personalization\u003cbr\u003e Simulate and validate strategies before deployment\u003cbr\u003e Scale experimentation systems with low latency and high reliability\u003cbr\u003e Transition from testing frameworks to continuous optimization systems\u003c\/p\u003e\u003cp\u003eThis is not a theory-heavy statistics book. Every concept is tied to \u003cb\u003ereal-world implementation, system design, and decision-making under uncertainty\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eWhether you are working in product analytics, data science, growth optimization, or machine learning, this book gives you the tools to build systems that \u003cb\u003elearn faster and perform better\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eIf you want to stop running slow experiments and start building systems that optimize continuously, this book delivers the framework to do it right.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47775699107991,"sku":"9798253557778","price":1728.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798253557778.webp?v=1777991939","url":"https:\/\/atlanticbooks.com\/products\/a-b-testing-and-multi-armed-bandits-with-r-build-high-converting-experiments-with-sequential-testing-thompson-sampling-and-ucb-9798253557778","provider":"Atlantic Books","version":"1.0","type":"link"}