{"product_id":"realworld-machine-learning-9781617291920","title":"Real-World Machine Learning","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003eReal-World Machine Learning\u003c\/strong\u003e by Brink, Henrik. paperback edition. ISBN: 9781617291920.\u003c\/p\u003e\n\u003cp\u003eSummary\n\nReal-World Machine Learning 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.\n\nPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\n\nAbout the Technology\n\nMachine learning systems help you find valuable insights and patterns in data, which youd 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. Its a hot and growing field, and up-to-speed ML developers are in demand.\n\nAbout the Book\n\nReal-World Machine Learning 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, youll build skills in data acquisition and modeling, classification, and regression. Youll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When youre done, youll be ready to successfully build, deploy, and maintain your own powerful ML systems.\n\nWhats Inside\nPredicting future behavior Performance evaluation and optimization Analyzing sentiment and making recommendations\n\nAbout the Reader\n\nNo prior machine learning experience assumed. Readers should know Python.\n\nAbout the Authors\n\nHenrik Brink, Joseph Richards and Mark Fetherolf are experienced data scientists engaged in the daily practice of machine learning.\n\nTable of Contents\n\nPART 1: THE MACHINE-LEARNING WORKFLOW\nWhat is machine learning? Real-world data Modeling and prediction Model evaluation and optimization Basic feature engineering\nPART 2: PRACTICAL APPLICATION\nExample: NYC taxi data Advanced feature engineering Advanced NLP example: movie review sentiment Scaling machine-learning workflows Example: digital display advertising\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Manning","offers":[{"title":"Default Title","offer_id":44954516455477,"sku":"ByrdShop_1617291927","price":28.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9781617291920_d0505eba-aa67-49d2-bf89-8ce79d0dc036.jpg?v=1778933832","url":"https:\/\/atxbooks.com\/products\/realworld-machine-learning-9781617291920","provider":"ATX Books","version":"1.0","type":"link"}