{"product_id":"feature-engineering-bookcamp-paperback","title":"Feature Engineering Bookcamp (Paperback)","description":"\u003cp\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\u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eFeature Engineering Bookcamp\u003c\/i\u003e you will learn how to:\u003c\/p\u003e\u003cp\u003e    Identify and implement feature transformations for your data\u003cbr\u003e    Build powerful machine learning pipelines with unstructured data like text and images\u003cbr\u003e    Quantify and minimize bias in machine learning pipelines at the data level\u003cbr\u003e    Use feature stores to build real-time feature engineering pipelines\u003cbr\u003e    Enhance existing machine learning pipelines by manipulating the input data\u003cbr\u003e    Use state-of-the-art deep learning models to extract hidden patterns in data\u003c\/p\u003e\u003cp\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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the technology\u003c\/strong\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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the book\u003c\/strong\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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat's inside\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e    Identify and implement feature transformations\u003cbr\u003e    Build machine learning pipelines with unstructured data\u003cbr\u003e    Quantify and minimize bias in ML pipelines\u003cbr\u003e    Use feature stores to build real-time feature engineering pipelines\u003cbr\u003e    Enhance existing pipelines by manipulating input data\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the Reader\u003c\/strong\u003e\u003cbr\u003eFor experienced machine learning engineers familiar with Python.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the Author\u003c\/strong\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.\u003c\/p\u003e\u003cp\u003eTable of Contents\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\u003c\/p\u003e\u003cp\u003e\u003cb\u003eeBook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty and License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant of License\u003c\/p\u003e\u003cp\u003eManning has authorized the download by you of an unrestricted number of copies of the electronic book (ebook) in any of the available formats. Manning grants you a nonexclusive, nontransferable license to use the ebook according to the terms and conditions herein. This License Agreement permits you to install the ebook on any and all your devices for your personal use only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou shall not: (1) share, resell, rent, assign, timeshare, distribute, or transfer all or part of the ebook or any rights granted hereunder to any other person; (2) duplicate the ebook, except for a single backup or archival copy; (3) remove any proprietary notices, labels, or marks from the ebook; (4) transfer or sublicense title to the ebook to any other party.\u003c\/p\u003e\u003cp\u003e3. 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This Agreement is governed by the laws of the State of New York.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506272735302,"sku":"9781617299797","price":5318.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506272768070,"sku":"9781617299797-2","price":4333.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/419mZQHOi0L._SX397_BO1_204_203_200.jpg?v=1790324806","url":"https:\/\/cb-india.com\/products\/feature-engineering-bookcamp-paperback","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}