Description: About this Item The item is a book Paperback The Author Name is Alice Zheng The Title is Feature Engineering for Machine Learning Condition New Other Comments Pages Count - 215. Category - Computers Product Description - Feature 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. 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. 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 We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When 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. Books 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. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe 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. Location ID 9000z iHaveit SKU ID 167504958
Price: 89.67 USD
Location: US
End Time: 2025-01-22T12:33:28.000Z
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Return shipping will be paid by: Buyer
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Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media, Inc, USA
Weight: 0.32
Style: NA
Title: Feature Engineering for Machine Learning
Release Title: Feature Engineering for Machine Learning
Record Grading: New
Sleeve Grading: New
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Film/TV Title: Feature Engineering for Machine Learning
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Number of Pages: 215 Pages
Publication Name: Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Data Modeling & Design, Data Processing, Databases / General
Item Height: 0.5 in
Publication Year: 2018
Item Weight: 13.8 Oz
Type: Textbook
Item Length: 9.4 in
Subject Area: Computers
Author: Alice Zheng, Amanda Casari
Item Width: 7.1 in
Format: Trade Paperback
