{"product_id":"9781638355366","title":"Machine Learning Systems: Designs that scale","description":"\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003ci\u003eMachine Learning Systems: Designs that scale\u003c\/i\u003e is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app.\u003cbr\u003e \u003cbr\u003e Foreword by Sean Owen, Director of Data Science, Cloudera\u003cbr\u003e \u003cbr\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the Technology\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e If you’re building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the Book\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003ci\u003eMachine Learning Systems: Designs that scale\u003c\/i\u003e teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eWhat's Inside\u003c\/b\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eWorking with Spark, MLlib, and Akka\u003c\/li\u003e \u003cli\u003eReactive design patterns\u003c\/li\u003e \u003cli\u003eMonitoring and maintaining a large-scale system\u003c\/li\u003e \u003cli\u003eFutures, actors, and supervision\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e\u003cb\u003eAbout the Reader\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003cb\u003eJeff Smith\u003c\/b\u003e builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https: \/\/medium.com\/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech\/speaking) about various aspects of building real-world machine learning systems.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e PART 1 - FUNDAMENTALS OF REACTIVE MACHINE LEARNING\u003cbr\u003e \u003col\u003e \u003cli\u003eLearning reactive machine learning\u003c\/li\u003e \u003cli\u003eUsing reactive tools\u003c\/li\u003e \u003c\/ol\u003e \u003cbr\u003ePART 2 - BUILDING A REACTIVE MACHINE LEARNING SYSTEM\u003cbr\u003e \u003col\u003e \u003cli\u003eCollecting data\u003c\/li\u003e \u003cli\u003eGenerating features\u003c\/li\u003e \u003cli\u003eLearning models\u003c\/li\u003e \u003cli\u003eEvaluating models\u003c\/li\u003e \u003cli\u003ePublishing models\u003c\/li\u003e \u003cli\u003eResponding\u003c\/li\u003e \u003c\/ol\u003e \u003cbr\u003ePART 3 - OPERATING A MACHINE LEARNING SYSTEM\u003cbr\u003e \u003col\u003e \u003cli\u003eDelivering\u003c\/li\u003e \u003cli\u003eEvolving intelligence\u003c\/li\u003e \u003c\/ol\u003e \u003cbr\u003e","brand":"Manning","offers":[{"title":"Default Title","offer_id":46348588089585,"sku":"9781638355366","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781638355366_p0.jpg?v=1765422292","url":"https:\/\/shop.barnesandnoble.com\/products\/9781638355366","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}