{"product_id":"153630073_product","title":"Alice Zheng - Feature Engineering for Machine Learning - Paperback","description":"New Store Stock\u003cbr\u003e\u003cstrong\u003eAbout this Item\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eThe item is a book Paperback\u003cbr\u003eThe Author Name is Alice Zheng\u003cbr\u003eThe Title is Feature Engineering for Machine Learning\u003cbr\u003e\u003cbr\u003eCondition New\u003cbr\u003e\u003cbr\u003eOther Comments\u003cbr\u003eNew Store Stock\u003cbr\u003eCategory - Computers\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eProduct Description -\u003cbr\u003eFeature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data.\r\n\r\n Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques.\r\n\r\n Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You'll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques\u003cbr\u003e\u003cp\u003eWhen possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong.\u003c\/p\u003e\n\n\u003cp\u003eBooks are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eGift Ideas\u003c\/strong\u003e\u003cbr\u003e\nThis is a great gift idea.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eHours of Service\u003c\/strong\u003e\u003cbr\u003e\nWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday.\u003c\/p\u003e\n\u003cbr\u003eLocation ID 245z\u003cbr\u003e\u003cbr\u003eiHaveit SKU ID 1352423732\u003cbr\u003e\u003cbr\u003e","brand":"O\u0026#39;Reilly Media, Inc, USA","offers":[{"title":"Default Title \/ unisex","offer_id":44818198495476,"sku":"1352423732","price":39.8,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/ihaveitmarketplace.com\/products\/153630073_product","provider":"iHaveit","version":"1.0","type":"link"}