{"title":"Databases","description":null,"products":[{"product_id":"escaping-the-build-trap-how-effective-product-management-creates-real-value","title":"Escaping the Build Trap: How Effective Product Management Creates Real Value","description":"\u003cp\u003e\u003cspan\u003eTo stay competitive in today's market, organizations need to adopt a culture of customer-centric practices that focus on outcomes rather than outputs. Companies that live and die by outputs often fall into the \"build trap,\" cranking out features to meet their schedule rather than the customer's needs.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIn this book, Melissa Perri explains how laying the foundation for great product management can help companies solve real customer problems while achieving business goals. By understanding how to communicate and collaborate within a company structure, you can create a product culture that benefits both the business and the customer. You'll learn product management principles that can be applied to any organization, big or small.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIn five parts, this book explores:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWhy organizations ship features rather than cultivate the value those features represent\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to set up a product organization that scales\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow product strategy connects a company's vision and economic outcomes back to the product activities\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to identify and pursue the right opportunities for producing value through an iterative product framework\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to build a culture focused on successful outcomes over outputs\u003cbr\u003e\u003c\/span\u003e\u003c\/span\u003e\n\u003cdiv class=\"celwidget aplus-module module-8 aplus-standard\"\u003e\n\u003cdiv class=\"aplus-module-wrapper apm-fixed-width\"\u003e\n\u003cdiv class=\"apm-spacing\"\u003e\n\u003cdiv class=\"apm-lefttwothirdswrap apm-floatleft\"\u003e\n\u003cdiv class=\"apm-centerthirdcol\"\u003e\n\u003ch3 class=\"a-spacing-mini\"\u003eAbout This Book\u003c\/h3\u003e\n\u003cp class=\"a-spacing-base\"\u003eThis book is for every product person. It’s for the senior in college who wants to be a product manager but doesn’t quite understand the full landscape of the job. It’s for the first-time product manager who was thrown into the fray and is looking for guidance. It’s for the product manager, just promoted to VP, who needs a guide to set up their organization so that it scales successfully. It’s for the leaders of large organizations who are looking to obtain that competitive advantage.\u003c\/p\u003e\n\u003cp class=\"a-spacing-base\"\u003eThe version of \u003cspan class=\"a-text-italic\"\u003eEscaping the Build Trap\u003c\/span\u003e you are about to read is the fourth rewrite of this book in three years. It is a culmination of what I have learned about how roles, strategy, process, and organizational dynamics affect the value that a company can deliver.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"apm-rightthirdcol\"\u003e\n\u003cdiv class=\"apm-rightthirdcol-inner\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"celwidget aplus-module module-8 aplus-standard\"\u003e\n\u003cdiv class=\"aplus-module-wrapper apm-fixed-width\"\u003e\n\u003cdiv class=\"apm-spacing\"\u003e\n\u003cdiv class=\"apm-lefttwothirdswrap apm-floatleft\"\u003e\n\u003cdiv class=\"apm-leftimage\"\u003e\u003cimg alt=\"Build trap, Product Management\" src=\"https:\/\/m.media-amazon.com\/images\/S\/aplus-media\/vc\/2e909833-5e56-4ee8-bf7a-88d38f845c6c._CR59,135,1073,1073_PT0_SX300__.png\" class=\"a-spacing-mini\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"apm-centerthirdcol\"\u003e\n\u003cp class=\"a-spacing-base\"\u003eThis book is a guide to getting out of the build trap with great product management. We look at what it means to become and be a product-led organization, which involves four key components:\u003c\/p\u003e\n\u003cp class=\"a-spacing-base\"\u003e \u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eCreating a product manager role with the right responsibilities and structure\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eEnabling those product managers with a strategy that promotes good decision making\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003eUnderstanding the process of determining what product to build, through experimentation and optimization\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003eSupporting everyone with the right organizational policies, culture, and rewards to allow product management to thrive\u003cbr\u003e\u003c\/span\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eO'Reilly Media\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eNovember 29, 2018\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eEdition ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e1st\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e200 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e149197379X\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-1491973790\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e9.9 ounces\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e6 x 0.75 x 9 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"The Book Stella","offers":[{"title":"Default Title","offer_id":50516249575682,"sku":null,"price":15.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0830\/9856\/6914\/files\/EscapingtheBuildTrap.jpg?v=1790067127"},{"product_id":"the-managers-path-a-guide-for-tech-leaders-navigating-growth-and-change","title":"The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change","description":"\u003ch3\u003eThe Manager’s Path: A Practical Guide to Becoming a Better Tech Leader\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eMaster the transition from engineer to manager and build the leadership skills you need to succeed in the tech industry.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eManaging people is challenging in any workplace, but becoming a manager in the technology industry comes with its own unique demands. Technical managers must balance people, projects, technical decisions, team performance, and organizational goals—often while learning management on the job.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe Manager’s Path\u003c\/strong\u003e is a practical guide for engineers, tech leads, mentors, and aspiring managers who want to develop stronger leadership and people-management skills. Drawing on real-world experience, this guide explores the different stages of a technical management career and provides practical advice for navigating the challenges that come with each step.\u003c\/p\u003e\n\u003cp\u003eWhether you're preparing for your first management role, mentoring other engineers, leading a technical team, or managing multiple teams, you'll find actionable strategies to help you become a more effective manager and leader.\u003c\/p\u003e\n\u003ch3\u003eWhat You'll Learn\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUnderstand the role of a manager\u003c\/strong\u003e and develop a clear perspective on what effective management looks like.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBecome a better mentor and tech lead\u003c\/strong\u003e by learning how to support engineers and help them grow.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eManage individuals and teams effectively\u003c\/strong\u003e while maintaining focus on broader team goals and organizational priorities.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDevelop strong self-management skills\u003c\/strong\u003e and recognize common challenges that can affect managers and leaders.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLead multiple teams\u003c\/strong\u003e and learn the fundamentals of managing other managers.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBuild a strong team culture\u003c\/strong\u003e that creates alignment, collaboration, trust, and a shared sense of purpose.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNavigate your management career\u003c\/strong\u003e with practical guidance for each stage of the journey from engineer to technical leader.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eBuild the Skills to Lead With Confidence\u003c\/h3\u003e\n\u003cp\u003eGreat technical leadership requires more than technical expertise. 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Rather than requiring humans to explicitly program every detail, deep learning systems can build increasingly complex concepts from simpler representations through multiple layers of computation.\u003c\/p\u003e\n\u003cp\u003eThis book explains the ideas behind these systems while providing the mathematical and conceptual foundation needed to understand modern deep learning.\u003c\/p\u003e\n\u003ch2\u003eWhat You’ll Learn\u003c\/h2\u003e\n\u003cp\u003eInside, you’ll explore:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMathematical Foundations\u003c\/strong\u003e — Essential concepts from linear algebra, probability theory, information theory, numerical computation, and machine learning.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDeep Feedforward Networks\u003c\/strong\u003e — Understand fundamental neural network architectures and how they are trained.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eRegularization and Optimization\u003c\/strong\u003e — Explore techniques for improving model performance, controlling overfitting, and efficiently training deep networks.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eConvolutional Networks\u003c\/strong\u003e — Learn the principles behind neural networks widely used for computer vision and image-based applications.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSequence Modeling\u003c\/strong\u003e — Examine methods for processing and learning from sequential data.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePractical Deep Learning Methodology\u003c\/strong\u003e — Develop an understanding of how deep learning techniques are applied in real-world settings.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eExplore Real-World Applications\u003c\/h2\u003e\n\u003cp\u003eThe book examines how deep learning can be applied across a wide range of fields, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eNatural language processing\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpeech recognition\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eComputer vision\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eOnline recommendation systems\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBioinformatics\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eVideo games\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eMachine learning products and platforms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThese examples connect theoretical concepts with practical applications, helping readers understand how deep learning techniques translate into real-world systems.\u003c\/p\u003e\n\u003ch2\u003eGo Beyond the Fundamentals\u003c\/h2\u003e\n\u003cp\u003eFor readers interested in advanced concepts and research, \u003cem\u003eDeep Learning\u003c\/em\u003e also explores important theoretical and emerging topics, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eLinear factor models\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAutoencoders\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eRepresentation learning\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eStructured probabilistic models\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eMonte Carlo methods\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eThe partition function\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eApproximate inference\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eDeep generative models\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThis combination of foundational theory, practical techniques, applications, and research perspectives makes the book a valuable resource for developing a deeper understanding of the field.\u003c\/p\u003e\n\u003ch2\u003eIdeal for Students, Engineers, and AI Researchers\u003c\/h2\u003e\n\u003cp\u003e\u003cem\u003eDeep Learning\u003c\/em\u003e is suitable for undergraduate and graduate students preparing for careers in artificial intelligence, machine learning, software engineering, or research. It is also valuable for software engineers and technology professionals who want to begin incorporating deep learning into products, applications, and platforms.\u003c\/p\u003e\n\u003cp\u003eWhether you are building your mathematical foundation, learning practical neural network techniques, or exploring advanced research topics, this book provides a structured path into the world of deep learning.\u003c\/p\u003e\n\u003ch3\u003eA Comprehensive Resource for Understanding Deep Learning\u003c\/h3\u003e\n\u003cp\u003eFrom linear algebra and probability to convolutional networks, sequence modeling, generative models, and real-world AI applications, \u003cem\u003eDeep Learning\u003c\/em\u003e brings together the essential concepts needed to study this rapidly evolving field.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eExplore the theory, techniques, applications, and research perspectives that form the foundation of modern deep learning.\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003chr class=\"a-divider-normal bucketDivider\"\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eThe MIT Press\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eNovember 18, 2016\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e800 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e0262035618\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-0262035613\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e2.94 pounds\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eReading age ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e18 years and up\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e9.1 x 7.2 x 1.1 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eGrade level ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e12 and up\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":50517196374274,"sku":null,"price":47.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0830\/9856\/6914\/files\/DeepLearning.jpg?v=1790079400"},{"product_id":"designing-machine-learning-systems-an-iterative-process-for-production-ready-applications","title":"Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications","description":"\u003ch2\u003eDesigning Machine Learning Systems by Chip Huyen\u003c\/h2\u003e\n\u003ch3\u003eBuild Reliable, Scalable \u0026amp; Production-Ready ML Systems\u003c\/h3\u003e\n\u003cp\u003eMachine learning systems are more than just models. They are complex ecosystems involving \u003cstrong\u003edata, algorithms, infrastructure, deployment, monitoring, people, and business requirements\u003c\/strong\u003e. Because every ML application depends on its data and use case, designing a system that continues to perform in the real world requires a holistic approach.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eDesigning Machine Learning Systems\u003c\/em\u003e\u003c\/strong\u003e by \u003cstrong\u003eChip Huyen\u003c\/strong\u003e, co-founder of Claypot AI, provides a practical framework for building \u003cstrong\u003ereliable, scalable, maintainable, and adaptable machine learning systems\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eRather than focusing on individual components in isolation, the book examines how key engineering decisions work together to help an ML system achieve its overall objectives.\u003c\/p\u003e\n\u003ch2\u003eLearn How to Design Production-Ready ML Systems\u003c\/h2\u003e\n\u003cp\u003eThrough practical guidance, real-world case studies, and extensive references, you'll explore important decisions involved in building and operating modern machine learning systems, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEngineering data\u003c\/strong\u003e and selecting metrics that align with business objectives\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eChoosing and creating effective \u003cstrong\u003etraining data and features\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eDesigning automated processes for \u003cstrong\u003edeveloping, evaluating, deploying, and updating ML models\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eDetermining \u003cstrong\u003ewhen and how often models should be retrained\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBuilding monitoring systems that detect and address \u003cstrong\u003eproduction ML issues\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eDesigning an \u003cstrong\u003eML platform\u003c\/strong\u003e that can support multiple use cases\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBuilding machine learning systems that can adapt to \u003cstrong\u003echanging data and business requirements\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eDeveloping \u003cstrong\u003eresponsible machine learning systems\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUnderstanding the trade-offs behind important ML system design decisions\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eA Holistic Approach to Machine Learning Engineering\u003c\/h2\u003e\n\u003cp\u003eBuilding a successful ML system isn't simply about selecting the most sophisticated algorithm.\u003c\/p\u003e\n\u003cp\u003eIt's about understanding how \u003cstrong\u003edata pipelines, models, infrastructure, evaluation, deployment, monitoring, and business goals\u003c\/strong\u003e fit together.\u003c\/p\u003e\n\u003cp\u003eChip Huyen presents an iterative approach supported by real-world examples and case studies, helping readers think beyond model development and understand the complete \u003cstrong\u003emachine learning lifecycle\u003c\/strong\u003e.\u003c\/p\u003e\n\u003ch3\u003eWho Is This Book For?\u003c\/h3\u003e\n\u003cp\u003e\u003cem\u003eDesigning Machine Learning Systems\u003c\/em\u003e is an essential resource for:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMachine learning engineers\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eData scientists\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSoftware engineers\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eML platform engineers\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAI engineers\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTechnical leaders and architects\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eProfessionals building and maintaining \u003cstrong\u003eproduction ML systems\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eWhether you're designing your first production machine learning pipeline or improving an existing ML platform, this book provides practical insights for making better system-level decisions.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMove beyond building models. Learn how to design machine learning systems that are reliable, scalable, maintainable, and ready for the demands of the real world.\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3\u003eKey Topics\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eMachine Learning Systems · ML Engineering · MLOps · Data Engineering · Model Deployment · Model Monitoring · Feature Engineering · Training Data · ML Platforms · Responsible AI · Production Machine Learning · Machine Learning Architecture\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3\u003eBook Details\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Chip Huyen\u003cbr\u003e\u003cstrong\u003eTitle:\u003c\/strong\u003e \u003cem\u003eDesigning Machine Learning Systems\u003c\/em\u003e\u003cbr\u003e\u003cstrong\u003eFocus:\u003c\/strong\u003e Machine Learning Engineering, MLOps, Data Science \u0026amp; Production AI\u003c\/p\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":50521787662594,"sku":null,"price":36.97,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0830\/9856\/6914\/files\/DesigningMachineLearningSystems.jpg?v=1790151179"},{"product_id":"designing-data-intensive-applications-the-big-ideas-behind-reliable-scalable-and-maintainable-systems","title":"Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems","description":"\u003cp class=\"isSelectedEnd\"\u003e\u003cstrong\u003e\u003cspan\u003eDesigning Data-Intensive Applications: Build Reliable, Scalable, and Maintainable Systems\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eExplore the foundations of modern \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003edata-intensive applications, distributed systems, databases, and software architecture\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e with Martin Kleppmann's comprehensive guide. Designed for software engineers and system architects, this book explains the principles behind building applications that are \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003escalable, reliable, efficient, maintainable, and fault-tolerant\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eModern applications depend on a wide range of technologies, including \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003erelational databases, NoSQL databases, stream and batch processors, and message brokers\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e. This book helps readers understand how these technologies work, where they are most useful, and the trade-offs involved when choosing the right solution for a particular application.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eRather than focusing on short-lived technology trends, the book explores fundamental concepts that remain valuable as software systems evolve. Readers can develop a deeper understanding of \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003edata storage, processing, distributed systems, consistency, scalability, replication, and system reliability\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eWhat You'll Learn\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\n\u003cspan\u003eHow to design and operate \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003edata-intensive applications\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eThe strengths and weaknesses of different database technologies\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eTrade-offs involving \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003econsistency, scalability, fault tolerance, and complexity\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eFundamental concepts behind modern distributed systems\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow relational and NoSQL databases work\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eBatch and stream data processing\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eMessage brokers and data pipelines\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eArchitecture patterns used by major online services\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow distributed-systems research influences modern databases\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to make informed technology and system-design decisions\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eIdeal for:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Software engineers, backend developers, system architects, database developers, data engineers, DevOps professionals, and computer science students.\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eO'Reilly Media\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eMay 2, 2017\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eEdition ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e1st\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e614 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e1449373321\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-1449373320\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e2.1 pounds\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e7 x 1.25 x 9.5 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":50546403213570,"sku":null,"price":55.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0830\/9856\/6914\/files\/DesigningData.jpg?v=1790412556"},{"product_id":"statistical-methods-for-the-social-sciences","title":"Statistical Methods for the Social Sciences","description":"\u003ch1\u003eStatistical Methods for the Social Sciences, 5th Edition\u003c\/h1\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical Methods for the Social Sciences, 5th Edition\u003c\/strong\u003e is an accessible, concept-focused statistics textbook designed specifically for students in social science disciplines. Written for beginners, this book introduces essential statistical methods without requiring previous statistics knowledge or an advanced mathematical background.\u003c\/p\u003e\n\u003cp\u003eWith an emphasis on \u003cstrong\u003econcepts, real-world applications, and practical data analysis\u003c\/strong\u003e, the 5th Edition provides enough material for a two-semester course. Students work with a wide variety of real data examples and exercises while learning how statistical methods are applied to social science research.\u003c\/p\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eBeginner-friendly introduction to statistics for social science students\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eFocuses on statistical concepts and practical applications\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eRequires only minimal mathematical knowledge\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eIncludes real-data examples and exercises\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eProvides expanded illustrations of statistical software for data analysis\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUses interactive applets to explain sampling distributions and fundamental statistical concepts\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eCovers basic data analysis and statistical methods\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eMinimizes unnecessary mathematical complexity\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAvoids an overly simplistic, recipe-based approach to statistics\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSuitable for one- or two-semester introductory statistics courses\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eIdeal For\u003c\/h3\u003e\n\u003cp\u003eSocial science students, undergraduate statistics courses, researchers, educators, and anyone seeking a practical and accessible introduction to \u003cstrong\u003estatistical methods for social sciences\u003c\/strong\u003e.\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003ePearson\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eJanuary 1, 2017\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eEdition ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e5th\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e608 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e013450710X\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-0134507101\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e2.54 pounds\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e8.4 x 1.75 x 10.25 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":50546820022530,"sku":null,"price":181.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0830\/9856\/6914\/files\/StatisticalMethodsfortheSocialSciences.jpg?v=1790414431"},{"product_id":"success-at-statistics","title":"Success at Statistics","description":"\u003ch1\u003eSuccess at Statistics by Fred Pyrczak\u003c\/h1\u003e\n\u003cp\u003e\u003cstrong\u003eSuccess at Statistics\u003c\/strong\u003e by \u003cstrong\u003eFred Pyrczak\u003c\/strong\u003e is a practical paperback resource designed to help students build confidence and improve their understanding of essential statistical concepts. Written with students in mind, the book provides approachable guidance for learning statistics and developing the skills needed to work with statistical problems effectively.\u003c\/p\u003e\n\u003cp\u003eWhether used alongside a statistics course or as a supplementary study resource, this book can help learners strengthen their understanding of fundamental statistical methods and improve their academic performance.\u003c\/p\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003ePractical introduction to essential statistics concepts\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eStudent-friendly approach to learning statistics\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eHelps reinforce statistical problem-solving skills\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUseful as a supplementary resource for statistics courses\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSuitable for students seeking additional practice and review\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Fred Pyrczak\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eIdeal For\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eCollege students, statistics learners, social science students, and anyone looking for an accessible statistics study resource.\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eRoutledge\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eMarch 1, 2016\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eEdition ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e6th\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e512 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e1936523469\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-1936523467\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e3.12 pounds\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e8.27 x 1.16 x 11.02 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":50547214975234,"sku":null,"price":94.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0830\/9856\/6914\/files\/SuccessatStatistics.jpg?v=1790417136"},{"product_id":"practical-statistics-for-data-scientists-50-essential-concepts-using-r-and-python-1","title":"Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python","description":"\u003cp\u003e\u003cspan\u003eStatistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eMany data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWith this book, you’ll learn:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eWhy exploratory data analysis is a key preliminary step in data science\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow random sampling can reduce bias and yield a higher-quality dataset, even with big data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow the principles of experimental design yield definitive answers to questions\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eHow to use regression to estimate outcomes and detect anomalies\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eKey classification techniques for predicting which categories a record belongs to\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eStatistical machine learning methods that \"learn\" from data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUnsupervised learning methods for extracting meaning from unlabeled data\u003cbr\u003e\u003c\/span\u003e\u003c\/span\u003e\n\u003ch2\u003eProduct details\u003c\/h2\u003e\n\u003cdiv id=\"detailBullets_feature_div\"\u003e\n\u003cul class=\"a-unordered-list a-nostyle a-vertical a-spacing-none detail-bullet-list\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublisher ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eO'Reilly Media\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePublication date ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eJune 16, 2020\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eEdition ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e2nd\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eLanguage ‏ : ‎ \u003c\/span\u003e\u003cspan\u003eEnglish\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003ePrint length ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e360 pages\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-10 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e149207294X\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eISBN-13 ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e978-1492072942\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eItem Weight ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e1.35 pounds\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan class=\"a-text-bold\"\u003eDimensions ‏ : ‎ \u003c\/span\u003e\u003cspan\u003e7 x 0.9 x 9.1 inches\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"thebookstella.com","offers":[{"title":"Default Title","offer_id":50558594023682,"sku":null,"price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0830\/9856\/6914\/files\/PracticalStatisticsforDataScientistsr.jpg?v=1790663825"},{"product_id":"practical-guide-to-clinical-data-management","title":"Practical Guide to Clinical Data Management","description":"\u003ch3\u003eClinical Data Management, 3rd Edition – Electronic Data Capture \u0026amp; Clinical Trials\u003c\/h3\u003e\n\u003cp\u003eGain a practical understanding of modern \u003cstrong\u003eClinical Data Management (CDM)\u003c\/strong\u003e with this third edition, which focuses on the growing role of \u003cstrong\u003eElectronic Data Capture (EDC)\u003c\/strong\u003e in clinical trials. As clinical research has moved from paper-based data collection toward electronic systems, this resource provides valuable insight into the processes and activities involved in managing clinical trial data.\u003c\/p\u003e\n\u003cp\u003eThe \u003cstrong\u003e3rd Edition\u003c\/strong\u003e places particular emphasis on the EDC process and organizes the material around the three primary stages of clinical data management: \u003cstrong\u003estudy startup, study conduct, and study closeout\u003c\/strong\u003e. This structured approach helps readers understand how data management activities evolve throughout the lifecycle of a clinical trial.\u003c\/p\u003e\n\u003cp\u003eA newly added chapter on the \u003cstrong\u003eclinical trial process\u003c\/strong\u003e provides a high-level overview of how a clinical trial progresses, from the creation of the protocol through \u003cstrong\u003estudy lock\u003c\/strong\u003e. 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In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. 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