{"product_id":"9781617291920","title":"Real-World Machine Learning","description":"\u003cp\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eReal-World Machine Learning\u003c\/i\u003e is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.\u003c\/p\u003e\u003cp\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the Technology\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMachine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the Book\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReal-World Machine Learning\u003c\/b\u003e will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat's Inside\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePredicting future behavior\u003c\/li\u003e\n\u003cli\u003ePerformance evaluation and optimization\u003c\/li\u003e\n\u003cli\u003eAnalyzing sentiment and making recommendations\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eAbout the Reader\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eNo prior machine learning experience assumed. Readers should know Python. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the Authors\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHenrik Brink\u003c\/b\u003e, \u003cb\u003eJoseph Richards\u003c\/b\u003e and \u003cb\u003eMark Fetherolf\u003c\/b\u003e are experienced data scientists engaged in the daily practice of machine learning. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003col\u003e\n\u003ch4\u003eTHE MACHINE-LEARNING WORKFLOW\u003c\/h4\u003e\n\u003cli\u003eWhat is machine learning?\u003c\/li\u003e\n\u003cli\u003eReal-world data\u003c\/li\u003e\n\u003cli\u003eModeling and prediction\u003c\/li\u003e\n\u003cli\u003eModel evaluation and optimization\u003c\/li\u003e\n\u003cli\u003eBasic feature engineering\u003c\/li\u003e\n\u003ch4\u003ePRACTICAL APPLICATION\u003c\/h4\u003e\n\u003cli\u003eExample: NYC taxi data\u003c\/li\u003e\n\u003cli\u003eAdvanced feature engineering\u003c\/li\u003e\n\u003cli\u003eAdvanced NLP example: movie review sentiment\u003c\/li\u003e\n\u003cli\u003eScaling machine-learning workflows\u003c\/li\u003e\n\u003cli\u003eExample: digital display advertising \u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Manning Publications Company","offers":[{"title":"Default Title","offer_id":47050982949104,"sku":"9781617291920","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781617291920_p0.jpg?v=1763853942","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781617291920","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}