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.
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
Routledge Library Editions: History of Sexuality
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The Code Book: How to Make It, Break It, Hack It, Crack It
It’s known as the science of secrecy. Cryptography: the encoding and decoding of private information. And it is history’s most fascinating story of intrigue and cunning. From Julius Caesar and his Caesar Cipher to the code used by Mary Queen of Scots and her conspiracy to the use of the Engima machine during the Second World War,...
Beginning SUSE Linux: From Novice to Professional
Beginning SUSE Linux is designed for you newcomers to Linux. It aims to take you all the way to the ranks of expert as quickly as possible. It logically starts by setting the scene, explaining the background of Linux, then showing how to install the software on your system, use the basic functions, and tweak it's look and feel to...
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been around for a few years now, it is still underutilized on the
Web. The original CSS specification was released by the World
Wide Web Consortium back in December of 1996. Since then both
Microsoft and Netscape have been slow to implement CSS fully in their