{"product_id":"9781617299797","title":"Feature Engineering Bookcamp","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eOzdemir, Sinan\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10\/4\/2022\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eDeliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters! This book’s practical case-studies reveal feature engineering techniques that upgrade your data wrangling—and your ML results.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eFeature Engineering Bookcamp\u003c\/i\u003e you will learn how to:\u003cbr\u003e\u003cbr\u003eIdentify and implement feature transformations for your data\u003cbr\u003eBuild powerful machine learning pipelines with unstructured data like text and images\u003cbr\u003eQuantify and minimize bias in machine learning pipelines at the data level\u003cbr\u003eUse feature stores to build real-time feature engineering pipelines\u003cbr\u003eEnhance existing machine learning pipelines by manipulating the input data\u003cbr\u003eUse state-of-the-art deep learning models to extract hidden patterns in data\u003cbr\u003e\u003cbr\u003e\u003ci\u003eFeature Engineering Bookcamp\u003c\/i\u003e guides you through a collection of projects that give you hands-on practice with core feature engineering techniques. You’ll work with feature engineering practices that speed up the time it takes to process data and deliver real improvements in your model’s performance. This instantly-useful book skips the abstract mathematical theory and minutely-detailed formulas; instead you’ll learn through interesting code-driven case studies, including tweet classification, COVID detection, recidivism prediction, stock price movement detection, and more.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eGet better output from machine learning pipelines by improving your training data! Use feature engineering, a machine learning technique for designing relevant input variables based on your existing data, to simplify training and enhance model performance. While fine-tuning hyperparameters or tweaking models may give you a minor performance bump, feature engineering delivers dramatic improvements by transforming your data pipeline.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eFeature Engineering Bookcamp\u003c\/i\u003e walks you through six hands-on projects where you’ll learn to upgrade your training data using feature engineering. Each chapter explores a new code-driven case study, taken from real-world industries like finance and healthcare. You’ll practice cleaning and transforming data, mitigating bias, and more. The book is full of performance-enhancing tips for all major ML subdomains—from natural language processing to time-series analysis.\u003cbr\u003e\u003cbr\u003eWhat's inside\u003cbr\u003e\u003cbr\u003eIdentify and implement feature transformations\u003cbr\u003eBuild machine learning pipelines with unstructured data\u003cbr\u003eQuantify and minimize bias in ML pipelines\u003cbr\u003eUse feature stores to build real-time feature engineering pipelines\u003cbr\u003eEnhance existing pipelines by manipulating input data\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor experienced machine learning engineers familiar with Python.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eSinan Ozdemir\u003c\/b\u003e is the founder and CTO of Shiba, a former lecturer of Data Science at Johns Hopkins University, and the author of multiple textbooks on data science and machine learning.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1 Introduction to feature engineering\u003cbr\u003e2 The basics of feature engineering\u003cbr\u003e3 Healthcare: Diagnosing COVID-19\u003cbr\u003e4 Bias and fairness: Modeling recidivism\u003cbr\u003e5 Natural language processing: Classifying social media sentiment\u003cbr\u003e6 Computer vision: Object recognition\u003cbr\u003e7 Time series analysis: Day trading with machine learning\u003cbr\u003e8 Feature stores\u003cbr\u003e9 Putting it all together","brand":"Manning","offers":[{"title":"Default Title","offer_id":48176692855039,"sku":"9781617299797","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_6254c2da-29fc-4ab7-8e43-1819fce0cdc3.jpg?v=1771351517","url":"https:\/\/massivebookshop.com\/de\/products\/9781617299797","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}