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
Computers and Productivity: How Firms Make a General Purpose Technology Work Information and communication technologies (ICTs) create potentials for considerable productivity gains and for higher economic growth. However, ICTs also pose varied challenges to firms in order to benefit from these potentials. Highlighting the importance of innovations, firm-sponsored training, and recruitment of high-skilled workers, this...
Eclipse for Dummies That’s what New York City Mayor Fiorello LaGuardia said back in 1934. Not
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Inside Your Calculator: From Simple Programs to Significant Insights Many of us want to understand how the technological instruments that so pervade modern society operate. This book answers questions about one of those devices: the scientific calculator. Calculator keys seem to work like magic. They tell us, for example, that the cosine of 56° is 0.559192903. This book explores the simple... Dictionary of Computing This dictionary provides the user with a comprehensive range of the vocabulary used in the field of computing. It covers all aspects of computing, including hardware, software, peripherals, networks and programming, as well as many applications in which computers are used, such as the Internet or desktop publishing. It also describes the latest...