{"product_id":"machine-learning-system-design-valerii-babushkin-9781633438750","title":"Machine Learning System Design: With End-To-End Examples","description":"\u003cb\u003eGet the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eMachine Learning System Design: With end-to-end examples\u003c\/i\u003e you will learn: \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe big picture of machine learning system design\u003c\/li\u003e \u003cli\u003eAnalyzing a problem space to identify the optimal ML solution\u003c\/li\u003e \u003cli\u003eAce ML system design interviews\u003c\/li\u003e \u003cli\u003eSelecting appropriate metrics and evaluation criteria\u003c\/li\u003e \u003cli\u003ePrioritizing tasks at different stages of ML system design\u003c\/li\u003e \u003cli\u003eSolving dataset-related problems through data gathering, error analysis, and feature engineering\u003c\/li\u003e \u003cli\u003eRecognizing common pitfalls in ML system development\u003c\/li\u003e \u003cli\u003eDesigning ML systems to be lean, maintainable, and extensible over time\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e\u003ci\u003eMachine Learning System Design: With end-to-end examples\u003c\/i\u003e is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system. \u003cp\u003e\u003c\/p\u003ePurchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Machine learning system design is complex. The successful ML engineer needs to navigate a multistep process that demands skills from many different fields and roles. This one-of-kind-guide starts by showing you the big picture and then guides you step by step through a framework for creating successful systems. You'll learn to excel at delivering for global objectives, diving locally into tools, and combining your knowledge into an integrated vision. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e In \u003ci\u003eMachine Learning System Design: With end-to-end examples\u003c\/i\u003e you'll find a step-by-step framework for creating, implementing, releasing, and maintaining your ML system. Every part of the life cycle is covered, from information gathering to keeping your system well-serviced. Each stage includes its own handy checklist of requirements and is fully illustrated with real-world examples, including interesting anecdotes from the author's own careers. \u003cp\u003e\u003c\/p\u003eYou'll follow two example companies each building a new ML system, exploring how their needs are expressed in design documents and learning best practices by writing your own. Along the way, you'll learn how to ace ML system design interviews, even at highly competitive FAANG-like companies, and improve existing ML systems by identifying bottlenecks and optimizing system performance. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For readers who know the basics of both software engineering and machine learning. Examples in Python. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eArseny Kravchenko\u003c\/b\u003e is a seasoned ML engineer with a proven track record of building and optimizing reliable ML systems for startups, including real-time video processing, manufacturing optimization, and financial transactions analysis. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eValerii Babushkin\u003c\/b\u003e is an accomplished data science leader with extensive experience in the tech industry. He currently serves as the VP of Data Science at Blockchain.com, where he is responsible for leading the company's data-driven initiatives. Prior to joining Blockchain.com, Valerii held key roles at leading tech companies, such as Facebook, Alibaba, and X5 Retail Group. \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Valerii Babushkin, Arseny Kravchenko\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1633438759\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781633438750\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Manning Publications\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/26\/2024\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 384\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.79lbs","brand":"Valerii Babushkin","offers":[{"title":"Paperback","offer_id":46233175195903,"sku":"9781633438750","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_08d56260-6c98-4b89-8159-92ec783f4895.jpg?v=1728992281","url":"https:\/\/www.whiterainbookhouse.com\/products\/machine-learning-system-design-valerii-babushkin-9781633438750","provider":"WR Book House","version":"1.0","type":"link"}