It takes the average reader 3 hours and 44 minutes to read Feature Engineering for Machine Learning by Alice Zheng
Assuming a reading speed of 250 words per minute. Learn more
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...
Feature Engineering for Machine Learning by Alice Zheng is 218 pages long, and a total of 56,244 words.
This makes it 74% the length of the average book. It also has 69% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 7 minutes to read Feature Engineering for Machine Learning aloud.
Feature Engineering for Machine Learning is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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